Sort by
Refine Your Search
-
anatomical and functional investigation of the cerebrovasculature is highly desirable. However, candidates with other experimental and/or data skills are welcome to apply. Experience in computer programming
-
undergraduate program (e.g., Education, Human Development, Psychology, Mathematics, or Statistics) Successful completion of CITI Training Commitment to working 30 hours/per week In-person work on the UP campus
-
coding, designing new materials, or re-design existing materials, transcription, programming, database management, etc. These are part-time positions for no more than 20 hours per week. BACKGROUND CHECKS
-
the position is filled. Application Materials: Applicants are requested to submit the following: A letter of application A research statement describing: research interests and career plan planned research
-
mission is to conduct interdisciplinary research that contributes to the evidence base needed to inform successful childhood obesity prevention programs that can then be disseminated to public health and
-
programming basics. Additional Information The start date is flexible, with September 1 2025 being the earliest date. Interested applicants should submit a pdf with a CV, a statement of research interests, and
-
independently and collaboratively. Preferred Qualifications A strong background in AI/machine learning, mathematical modeling, and programming. Extensive practical experience in AV development, testing
-
focuses are: 1) Investigating the underlying molecular mechanisms by which 3D genome topology controls the hematopoietic transcription program and lineage differentiation in normal and malignant
-
to apply. Experience in computer programming (e.g., Matlab, Python), neuroinformatics, and/or advanced microscopy tools is plus, but not required. More details of the lab including publications can be found
-
publications in peer-reviewed journals, demonstrating a commitment to scientific excellence and innovation. Experience with data analysis pipelines, programming (e.g., Python, R), and bioinformatics software