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Immunology Posting Number R260043 Posting Link https://www.ubjobs.buffalo.edu/postings/61543 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89
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existing and new computational methods to study multiscale processes in catalysis and photochemistry. Other projects that align with our general interest are also possible. Please see https://sdonglab.org
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selectivity, spin-polarized electron transport. • Skilled in the use of SEM, TEM and spectroscopy for nanomaterial, and thin film characterization. • Proficiency in Python, MATLAB, OriginPro, R or a similar
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Qualifications: Experience analyzing oral microbiome datasets (16S, shotgun metagenomics, or metatranscriptomics). Advanced programming and data science skills in R, Python, or other relevant languages
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 1 month ago
knowledge of R, Stata, Python, or other relevant programming language. We would be particularly interested in researchers working on topics that include (but are not limited to): The intersection of education
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Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Working Conditions: This position works in
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experience with deep learning (DL) methods. Demonstrated proficiency in Python and machine learning frameworks (e.g., PyTorch, Jax, scikit-learn) applied to genomic/related datasets. Experience with sequence
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pipelines for 16s rRNA and WGS sequence data from pathogens. Advanced computer programming skills in R and Python and preferably also other languages and demonstrated proficiency in UNIX, shell scripting
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community visit: https://greateriowacity.com/build/area-advantages/ The position will begin in Fall 2026, with flexibility in start date based on candidate availability. The initial appointment is for 1 year
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R, Python, or similar tools. Familiarity with plant growth chamber experiments, controlled inoculation systems, or compartmented experimental designs. Experience integrating multi-omics datasets