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Remote Machine Learning Postdoc Jobs in Bryan, TX

Tamus

Geospatial Analyst II

College Station, TX · On-site +1

$6.0K/mo

... Python, and remote sensing software. -Working knowledge of relational database concepts ... machine learning and advanced statistical techniques. Opportunities: -Grow professionally by ...

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Remote Machine Learning Postdoc information

What is a remote machine learning postdoc?

A Remote Machine Learning Postdoc is a postdoctoral researcher specializing in machine learning who works predominantly or entirely from a location outside their host institution, often from home. Their work involves conducting advanced research, developing new algorithms, analyzing data, and publishing findings related to machine learning while collaborating virtually with faculty and research teams. This role is ideal for researchers seeking flexibility or those who cannot relocate but wish to contribute to academic or industrial research from a distance.

What are the key skills and qualifications needed to thrive as a remote machine learning postdoc?

A Remote Machine Learning Postdoc requires a PhD in computer science, statistics, or a related field, with expertise in machine learning algorithms, statistical modeling, and research methodologies. Proficiency in programming languages like Python or R, experience with machine learning frameworks such as TensorFlow or PyTorch, and familiarity with version control systems (e.g., Git) are typically necessary. Strong written and verbal communication, self-motivation, and collaboration skills are vital for remote research and effective teamwork. These capabilities enable impactful independent research, smooth collaboration across distributed teams, and the successful dissemination of findings to the wider scientific community.

What are some common challenges faced by remote machine learning postdocs when collaborating with research teams?

Remote machine learning postdocs often encounter challenges related to communication and coordination, especially when working across different time zones or with teams that have varying schedules. Effective collaboration usually requires proactive communication through virtual meetings, shared code repositories, and regular progress updates. Building rapport with colleagues and staying engaged with ongoing research discussions can take extra effort remotely, but leveraging collaborative tools and participating in virtual seminars or group chats can help bridge the gap. Being organized and self-motivated is key to ensuring productive contributions to the team’s research objectives.

What are the most commonly searched types of Machine Learning Postdoc jobs in Bryan, TX?

The most popular types of Machine Learning Postdoc jobs in Bryan, TX are:

What job categories do people searching Remote Machine Learning Postdoc jobs in Bryan, TX look for?

The top searched job categories for Remote Machine Learning Postdoc jobs in Bryan, TX are:

What cities near Bryan, TX are hiring for Remote Machine Learning Postdoc jobs?

Cities near Bryan, TX with the most Remote Machine Learning Postdoc job openings:

Remote Machine Learning Postdoc jobs near you

Postdoctoral Research Associate

Tamus

College Station, TX • Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 4 days ago

Job description

Job Title

Postdoctoral Research Associate

Agency

Texas A&M University

Department

Teaching, Learning And Culture (Tlac)

Proposed Minimum Salary

Commensurate

Job Location

College Station, Texas

Job Type

Staff

Job Description

A Glimpse of the Job

The Postdoctoral Research Associate will work under the supervision of Dr. Rebecca Sansom to advance research in science education. This position offers an exciting opportunity to contribute to meaningful research projects, collaborate with a dynamic team of scholars, and help shape the future of science education. The successful candidate will contribute to research papers, conference presentations, and peer-reviewed publications. In addition, they will work closely with faculty, researchers, and graduate students as part of a collaborative research team, including established partnerships with researchers at institutions across multiple states. This role provides opportunities for scholarly growth, professional development, and active engagement in a vibrant research community.

What You Need to Know

Salary: Compensation will becommensurateto the selectedhire'sexperience.

Cover Letter/Resume: A cover letter and resume are strongly recommended and will help in our review. You may upload themonthe application under the CV/Resume section.

Other Requirements and Factors:

  • This is a fully remote position that is funded for sixteen months.

  • May have to work on the weekend and/or after normal hours.

  • May travel as required.

Qualifications

Required Education and Experience:

  • PhD in a related field.

  • No required experience.

A Well-Qualified Candidate Will Also Possess:

  • Familiarity with principles of 3D Science.

  • Experience as a secondary science teacher.

  • Experience with qualitative educational research.

  • Excellent verbal and written skills.

  • Presentation skills.

  • Analytical skills.

  • Attention to detail.

Opportunities to Contribute

Research

  • Uses existing data from interviews, classroom observations, lesson plans, and working group meetings to answer novel research questions about 3D Science implementation in secondary science classrooms.

  • Manages qualitative research projects with attention to trustworthiness, audit trails and recordkeeping, and collaborative processes with all members of the project team.

  • Designs and carries out research studies, in collaboration with supervisor, to explore additional elements of 3D Science implementation.

  • Analyzes research data and summarizes results in written reports for publication.

  • Contributes to the forward progress of the research program by managing other tasks as needed.

Mentoring

  • May assist, mentor, and/or supervise student researchers and/or graduate students who are working on research related to the project.

Presentations

  • Prepares presentation materials on research topic that may be presented to small and/or large groups.

  • Actively participates in the preparation of required technical progress reports to research sponsors as needed.

Who We Are

Teaching, Learning andCulture(TLAC),one of four departments in theCollegeof Education and HumanDevelopment,encompasses students, faculty, and staff whose efforts and interests center on the manydifferent aspectsof academics,teachingand classroom education.TLAC's mission is to create experiences that advance teaching, research, and service through the application of knowledge in the preparation and development of quality educators, placing high value on collaboration, critical thinking, creativity, democratic governance, and global leadership.To learn more, please visithttps://tlac.tamu.edu/

Why Texas A&M University?

Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived experiences. Embracing varying opinions and perspectives strengthens our core values which are: Respect, Excellence, Leadership, Loyalty, Integrity, and Selfless Service.

We are a prestigious university with strong traditions, Core Values, and a community of caring and collaboration.

  • Health, dental, vision, life and long-term disability insurance with Texas A&M contributing to employee health and basic life premiums.

  • 12-15 days of annual paid holidays.

  • Up to eight hours of paid sick leaveand at leasteight hours of paid vacationeach month.

  • Automatic enrollment in theTeacher Retirement System of Texas.

  • Health and Wellness: Free exercise programs and release time.

  • Professional Development: All employees have access to freeLinkedIn Learningtraining, webinars, and limited financial support to attend conferences, workshops, and more.

  • Employee Tuition Assistance and Educational Release time for completing a degree while a Texas A&M employee.

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check.

Equal Opportunity/Veterans/Disability Employer.

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