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(e.g., Python, Julia, R, MATLAB). Ability to work independently and take ownership of a well-scoped research project, from conceptualization through dissemination. Strong written and verbal communication
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genomics approaches. Familiarity with computational analysis (e.g., Python, R, Bash) and/or genome-scale data integration. Experience with cell culture and functional genomics (e.g., CRISPR/Cas9), cancer
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connection of renewable generation, experience with HIL systems and experimental test setups, and strong competences in communication systems as well as coding experience (C++ and Python). As a formal
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the oceanographic community including MatLab, Ferret, and/or Python. ● The incumbent must have a proven publication record, strong scientific writing and computer skills, and the ability to communicate science to
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in causal inference ● Minimum of 2 years’ experience in statistical software R, Python or equivalent Preferred Qualifications: ● Experience with development of R packages or other
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in programming, ideally with experience in languages commonly used in computational biology (e.g. Python, C). Experience with HPC, workflow managers (e.g. Snakemake, Nextflow), and containerization
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novel machine-learning methodologies Excellent programming skills in Python and familiarity with modern ML tooling and reproducible research practices Experience training and deploying machine-learning
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of molecular phenotypes, Mendelian Randomization, co-localisation); Experience of statistical or other programming languages to manipulate large-scale datasets – e.g. Python, R; Strong quantitative skills and
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(https://atomicfilmslab.org) and will work closely with the computational, device, and simulation teams, as well as with the education and mentorship teams comprising ASWESOME. This position will inform
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experimental animals Experience implementing and optimizing eye tracking, body tracking, and/or visual reality environments Proficiency in Python and scientific computing libraries Familiarity with spike sorting