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Weekend Machine Learning Postdoc Jobs in Euless, TX

Marmon

Milling Machinist, Weekend Shift

Addison, TX · On-site

$21.25 - $28.25/hr

We're committed to making a positive impact on the world, providing you with diverse learning and ... Starts and observes machine operation to detect malfunctions or out-of-tolerance machining.

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Weekend Machine Learning Postdoc information

What is the difference between Weekend Machine Learning Postdoc vs Weekend Data Scientist?

AspectWeekend Machine Learning PostdocWeekend Data Scientist
Required CredentialsPhD in Computer Science, Machine Learning, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentAcademic research settings, universities, research labsIndustry companies, startups, consulting firms
Employer & Industry UsageResearch institutions, universities, academic grantsTech companies, finance, healthcare, retail
Common Search & ComparisonYesYes

The Weekend Machine Learning Postdoc typically involves academic research with a focus on advancing machine learning theories and models, often requiring a PhD. In contrast, a Weekend Data Scientist applies data analysis and machine learning techniques in industry settings, often with a bachelor's or master's degree. Both roles may work on similar projects but differ mainly in their environment, credentials, and end goals.

What are the typical projects and collaboration opportunities for a Weekend Machine Learning Postdoc?

As a Weekend Machine Learning Postdoc, you will often contribute to ongoing research projects, developing and refining machine learning models in collaboration with faculty, graduate students, and occasionally industry partners. While your hours are concentrated on weekends, you’ll typically participate in regular research meetings, code reviews, and may co-author papers or grant proposals. The role provides opportunities to mentor junior researchers and expand your expertise by working on interdisciplinary teams. This structure allows you to make significant research contributions while maintaining flexibility in your schedule.

What is a Weekend Machine Learning Postdoc?

A Weekend Machine Learning Postdoc is a postdoctoral researcher who focuses on machine learning projects and typically works on weekends or has a flexible schedule that includes weekend hours. This role often involves conducting advanced research in machine learning, developing algorithms, publishing papers, and collaborating with academic or industry teams. Weekend postdoc positions may be ideal for those balancing other commitments or seeking non-traditional work hours while continuing their research careers.

What are the key skills and qualifications needed to thrive as a Weekend Machine Learning Postdoc, and why are they important?

To thrive as a Weekend Machine Learning Postdoc, you need a strong background in machine learning, statistics, and programming, typically supported by a PhD in a relevant field. Experience with tools such as Python, TensorFlow, PyTorch, and data analysis platforms, as well as familiarity with academic research methodologies, is essential. Exceptional problem-solving abilities, self-motivation, and effective communication are vital soft skills for success in research and collaboration. These skills enable you to drive innovative research, efficiently manage independent projects, and contribute meaningful insights to the field.
What job categories do people searching Weekend Machine Learning Postdoc jobs in Euless, TX look for? The top searched job categories for Weekend Machine Learning Postdoc jobs in Euless, TX are:
Weekend Machine Learning Postdoc jobs near you
Assistant Professor/Associate Professor Tenure Track Faculty in Systems Biology

Assistant Professor/Associate Professor Tenure Track Faculty in Systems Biology

UT Southwestern Medical Center

Dallas, TX

Full-time

Re-posted 2 days ago

UT Southwestern rating

8.0

Company rating: 8.0 out of 10

Based on 149 frontline employees who took The Breakroom Quiz

88th of 884 rated healthcare providers

Job description

The Cecil H. and Ida Green Center for Systems Biology within the Lyda Hill Department of Bioinformatics at UT Southwestern ­Medical Center is looking to expand its research program in microbial systems biology. We seek tenure-track faculty candidates at the level of Assistant Professor with interests in microbial genetics, microbial physiology, synthetic biology, microbial metabolism, and/or microbial evolution. Applicants with experience in projects that combine quantitative high-throughput experimentation with theory and/or informatics elements would be highly suitable.


Embedded in the Department of Bioinformatics, the Center aims to discover and understand a circuit theory for biology - a set of powerful, predictive principles that can provide insight into how biological components are wired as a network to achieve complex functionalities. Center faculty collaborate closely with Bioinformatics and Computational experts in genomics, machine learning/AI, and statistical physics. The Center also houses one of the leading national hubs in quantitative light microscopy development. The University of Texas Southwestern Medical Center offers over 40 core facilities in cryo-electron microscopy, metabolomics, crystallographic structure determination, high-throughput small molecule screening, high resolution microscopy, and next-generation sequencing. As part of a large academic medical center, our Center presents abundant potential for collaboration with clinicians and access to clinical data and isolates.
The successful applicant will receive a highly competitive start up package.

Qualifications

A Ph.D. and significant research experience as a postdoctoral fellow in Biochemistry, Computational Biology, Microbiology, Systems Biology, Quantitative Biology or related fields is required.
It is expected that applicants will have a strong research track record as evidenced by publications and preprints.  
Demonstrated experience with acquiring funding is a plus.

Application Instructions

To apply, please submit the following:

·         Cover Letter

·         Updated CV

·         A description of current research and future scientific vision (restricted to maximum 3 pages)

·         3 letters of recommendation

Inquiries regarding this position should be directed to Dr. Kimberly Reynolds

Consideration may be given to applicants seeking less than a full-time schedule. Appointment rank will be commensurate with academic accomplishments and experience. 

To learn more about the benefits UT Southwestern offers, visit https://www.utsouthwestern.edu/employees/hr-resources/ 

This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information.

UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community.  As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status. 

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