Sort by
Refine Your Search
-
systems or autonomous AI frameworks · Solid foundation in computational biology · Proficiency in Python and modern ML frameworks (e.g., PyTorch, JAX) · Strong analytical, problem solving, and communication
-
, synchrony, connectivity, oscillations) o Quantitative analysis of network activity from MEA and/or imaging o Proficiency in Python, MATLAB, or similar languages for data processing, statistics, and
-
. This position is a benefits-eligible, two-year term appointment through June 30, 2028. Core Responsibilities Design, build, and maintain ML/AI systems and research software in Python and C/C++ Develop and
-
, Python, etc.), and working knowledge of data management protocols. Experience with exposome or environmental data, multiomics integration, and exposure-wide association studies (ExWAS) and GIS preferred
-
(R, Python, etc.), and working knowledge of data management protocols. Experience with exposome or environmental data, multiomics integration, and exposure-wide association studies (ExWAS) and GIS
-
standards, leveraging Python and shell scripting to automate builds, packaging, and CI/CD. You will contribute to methods, training, and publications that strengthen computational rigor across cryo-EM
-
language (Python, C, C++ or Java) and familiarity with scripting languages (bash, Perl). Knowledge of Unix operating system, terminal and bash is a plus. Experience using a compute cluster. Excellent
-
preferred. Superb programming skills, especially in Python and shell scripting, and communication skills are strongly preferred. Extensive experience with analysis of high-throughput sequencing data and
-
policy, economics, statistics, or a related quantitative field Additional Qualifications Strong skills in Stata, R and/or Python and experience analyzing complex data Demonstrated experience working with
-
with computational environments for ’omics data manipulation (command line, Python, R, etc.) * Deep knowledge in at least one relevant subdiscipline, i.e. bioinformatics, microbiology, microbial ecology