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Internship Machine Learning Neuroscience Jobs in Missouri

$16.92 - $26.44/hr

... neuroscience, bioengineering, or a related field. * Experience with molecular cloning, cell culture, microscopy, image analysis, computational biology, machine learning, animal research, or viral ...

... to learning, collaboration, and innovation, Smithfield offers challenging and rewarding careers ... Our internships are typically 10 weeks. Hourly Competitive Starting Pay - $17.50/hour Core ...

... to learning, collaboration, and innovation, Smithfield offers challenging and rewarding careers ... Our internships are typically 10 weeks. Hourly Competitive Starting Pay - $17.50/hourCore ...

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Internship Machine Learning Neuroscience information

What are the key skills and qualifications needed to thrive as an internship machine learning neuroscience, and why are they important?

To thrive in an Internship Machine Learning Neuroscience role, you generally need a background in neuroscience, computer science, or a related field, along with a solid understanding of machine learning concepts. Experience with programming languages such as Python, libraries like TensorFlow or PyTorch, and familiarity with neuroimaging software are commonly required. Strong analytical thinking, problem-solving skills, and effective communication help you work collaboratively and adapt to complex research environments. These skills are essential for contributing meaningfully to interdisciplinary projects at the intersection of neuroscience and artificial intelligence.

What is the difference between Internship Machine Learning Neuroscience vs Internship Data Science?

AspectInternship Machine Learning NeuroscienceInternship Data Science
Required CredentialsBackground in neuroscience, machine learning, programmingBackground in statistics, programming, data analysis
Work EnvironmentResearch labs, healthcare, academia, tech companiesBusiness, tech firms, research institutions
Industry UsageNeuroscience research, AI development, healthcare techBusiness analytics, product development, consulting

Internship Machine Learning Neuroscience focuses on applying machine learning techniques to neuroscience data, often within research or healthcare settings. In contrast, Internship Data Science covers a broader range of data analysis across industries. Both roles require programming skills, but the focus and industry applications differ significantly.

What is an internship in machine learning neuroscience?

An Internship in Machine Learning Neuroscience is a temporary position, often for students or recent graduates, that involves applying machine learning techniques to neuroscience research. Interns may work on projects such as analyzing brain imaging data, modeling neural networks, or developing algorithms to understand brain function. These internships provide hands-on experience in both computational methods and neuroscience concepts, helping interns build valuable skills for future academic or industry roles. Opportunities can be found in universities, research institutes, or technology companies with neuroscience divisions.

What types of projects do interns typically work on in a machine learning neuroscience internship?

Interns in Machine Learning Neuroscience often engage in projects that combine data analysis, algorithm development, and neuroscience research. This can include tasks such as preprocessing neural data, building and evaluating machine learning models to interpret brain signals, or developing tools for data visualization. Interns frequently collaborate with both data scientists and neuroscientists, gaining hands-on experience with real-world datasets and exposure to interdisciplinary research environments. These projects help interns build practical skills and contribute meaningful insights to ongoing research.
What are the most commonly searched types of Machine Learning Neuroscience jobs in Missouri? The most popular types of Machine Learning Neuroscience jobs in Missouri are:
What cities in Missouri are hiring for Internship Machine Learning Neuroscience jobs? Cities in Missouri with the most Internship Machine Learning Neuroscience job openings:

$16.92 - $26.44/hr

Full-time

Medical, Retirement, PTO

Re-posted 2 days ago


Washington University In St. Louis rating

7.7

Company rating: 7.7 out of 10

Based on 124 frontline employees who took The Breakroom Quiz

260th of 617 rated colleges and universities


Job description

LocationST. LOUIS, MO 63110 Scheduled Hours40Position SummaryThe Inoue Laboratory at the Biophotonics Research Center, WashU in St. Louis, is seeking a highly motivated Research Technician to support interdisciplinary research at the interface of protein engineering, optical imaging, and systems neuroscience. The successful candidate will participate in molecular biology, protein engineering, cell culture, and animal-based neuroscience experiments aimed at developing next-generation optical tools for studying brain function. The laboratory develops genetically encoded sensors and actuators for non-invasive imaging and manipulation of neural circuits, combining experimental and computational approaches including machine learning-guided protein engineering. This position offers an excellent opportunity to gain hands-on experience in cutting-edge neurotechnology and contribute to projects with broad impact in neuroscience and biomedical research.
The Research Technician will support ongoing research projects in molecular engineering, optical imaging, and neuroscience. Responsibilities include molecular cloning, cell culture, protein characterization, data collection and analysis, maintenance of laboratory records, and general laboratory operations. The individual may assist with small animal procedures, histology, microscopy, and the development and testing of genetically encoded sensors and other neurotechnology tools. The position requires close collaboration with laboratory members while maintaining accurate documentation and compliance with institutional research policies and procedures.Job Description

Primary Duties & Responsibilities:

  • Assists with research studies, experiments and assays, including collection of data, preparation of solutions and setup and maintenance of equipment.
  • Performs data entry and maintains data files on research.
  • Prepares tissue cultures, reagents, probe tests, etc.
  • Complies with established safety procedures and maintains required documentation on laboratory and specimen conditions.
  • Ensures lab conditions and equipment are properly cleaned and maintained in accordance with established procedures.
  • Assists with general lab maintenance and cleaning.
  • Performs other duties as assigned.

Working Conditions:


  • This position works in a laboratory environment with potential exposure to biological and chemical hazards.
  • The individual must be physically able to wear protective equipment and to provide standard care to research animals.
The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time.Required Qualifications

Education:

Bachelor's degree or combination of education and/or experience may substitute for minimum education.


Certifications/Professional Licenses:

No specific certification/professional license is required for this position.


Work Experience:

No specific work experience is required for this position.


Skills:

Not Applicable


Driver's License:

A driver's license is not required for this position.More About This Job

Preferred Qualifications:

  • Previous research experience in molecular biology, biochemistry, protein engineering, neuroscience, bioengineering, or a related field.
  • Experience with molecular cloning, cell culture, microscopy, image analysis, computational biology, machine learning, animal research, or viral vector techniques is desirable.
  • Experience working in an academic research laboratory environment.
  • The ideal candidate will have up to one year of experience in a laboratory setting.
Preferred Qualifications

Education:

No additional education unless stated elsewhere in the job posting.


Certifications/Professional Licenses:

No additional certification/professional licenses unless stated elsewhere in the job posting.


Work Experience:

No additional work experience unless stated elsewhere in the job posting.

Skills:

Collaboration, Communication, Computer Applications, Computer Literacy, Data Analytics Software, Detailed Reports, Detail-Oriented, Laboratory Instrumentation, Laboratory Research, Multiple Project Management, Organizing, Prioritization of Tasks, Recordkeeping, Software Program, Team Collaboration, Willingness to Learn, Working IndependentlyGradeR06-HSalary Range$16.92 - $26.44 / HourlyThe salary range reflects base salaries paid for positions in a given job grade across the University. Individual rates within the range will be determined by factors including one's qualifications and performance, equity with others in the department, market rates for positions within the same grade and department budget.Questions

For frequently asked questions about the application process, please refer to our External Applicant FAQ.

Accommodation

If you are unable to use our online application system and would like an accommodation, please emailCandidateQuestions@wustl.eduor call the dedicated accommodation inquiry number at 314-935-1149 and leave a voicemail with the nature of your request.

All qualified individuals must be able to perform the essential functions of the position satisfactorily and, if requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of their job, absent undue hardship.Pre-Employment ScreeningAll external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.Benefits Statement

Personal

  • Up to 22 days of vacation, 10 recognized holidays, and sick time.

  • Competitive health insurance packages with priority appointments and lower copays/coinsurance.

  • Take advantage of our free Metro transit U-Pass for eligible employees.

  • WashU provides eligible employees with a defined contribution (403(b)) Retirement Savings Plan, which combines employee contributions and university contributions starting at 7%.

Wellness

  • Wellness challenges, annual health screenings, mental health resources, mindfulness programs and courses, employee assistance program (EAP), financial resources, access to dietitians, and more!

Family

  • We offer 4 weeks of caregiver leave to bond with your new child. Family care resources are also available for your continued childcare needs. Need adult care? We've got you covered.

  • WashU covers the cost of tuition for you and your family, including dependent undergraduate-level college tuition up to 100% at WashU and 40% elsewhere after seven years with us.

For policies, detailed benefits, and eligibility, please visit: https://hr.wustl.edu/benefits/

EEO StatementWashington University in St. Louis is committed to the principles and practices of equal employment opportunity. It is the University's policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, citizenship (where prohibited by federal law), age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information.

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About Washington University in St. Louis

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Washington University in St. Louis, often simply known as WashU, is a prestigious private research university in the United States. Headquartered in Saint Louis, Missouri, the university operates within the Education industry offering an array of undergraduate and postgraduate programs encompassing various areas like arts, sciences, business, design, medicine, and engineering. Established in 1853, the university has a storied past rooted in determination, resilience, and commitment to knowledge and innovation.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Saint Louis, MO, US

Year founded

1853