Sort by
Refine Your Search
-
Listed
-
Field
-
Python or R is a plus Ability to work independently and collaboratively in a multidisciplinary research environment Special Instructions to Applicants: To be considered, please submit the following: Cover
-
will have demonstrated experience working with large and complex datasets, including collection, management, analysis, and communication. Strong programming skills (R, Python, or similar) and a solid
-
Requirements: PhD in Biomedical Engineering, Electrical Engineering, Neuroscience, Computer Science, Psychology, or closely related field Demonstrated MEG analysis experience (FieldTrip/Brainstorm/MNE-Python
-
of education materials). Required Qualifications: PhD in Biostatistics, Computer Science, Bioinformatics, Statistics, Mathematics or related field. Preferred: Proficient in R/Python. Prior experience in genetic
-
analysis. Familiarity with bioinformatics software (e.g., R, Python, GSEA, PRISM, CellProfiler) and cloud‑based data platforms. Strong written and oral communication skills; ability to lead interdisciplinary
-
-, T2-weighted MRI, diffusion-weighted imaging) Programming experience (e.g., MATLAB or Python) Demonstrated trajectory toward applying for an NIH K-award within two years of appointment Special
-
(e.g., Python or R or C++) is essential. Research experience utilizing skills of programming, statistics, and AI are essential. The ideal candidate should demonstrate independent and critical thinking
-
: Position 1: Postdoctoral Associate – Software Engineering & Technical Development Proficiency in Python, geospatial libraries, API design (e.g., FastAPI), and cloud/HPC environments. Experience with
-
. Preferred: Proficient in R and Python. Prior experience in genetic or genomic data analysis; experience with AI is a plus. Special Instructions to Applicants: In order to be considered, you must upload your