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quantitative discipline. You will have experience analysing complex, high-dimensional datasets and applying quantitative or computational methods, together with strong programming skills in Python or a
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or applying machine learning models. Proficiency in programming and data analysis using Python, R, or comparable analytical tools. Demonstrated ability in scientific writing, peer-reviewed publication, and
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 1 day ago
: • Experience in designing experiments on cooperation and communication involving wolves and dogs • Statistical and programming skills, such as R, MATLAB, Python and Bonsai • Independent, precise and solution
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, bioinformatics, infectious disease epidemiology or a related discipline. Have experience with molecular biology and next-generation sequencing. Have strong computational skills (e.g. Linux, R, Python). An interest
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hyperspectral imaging is necessary. Proficiency in Python programming, particularly with Python libraries such as Spectral Python (spectral), NumPy, SciPy, and OpenCV and familiarity with at least one engineering
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engineering ability (e.g., OCaml, Rust, C/C++, Python, or other functional languages) Strong publication record (relative to your career stage) in internationally leading venues (e.g., POPL, PLDI, ICFP, OOPSLA
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experiments • Analyze imaging and behavioral datasets using MATLAB or Python • Contribute to manuscript preparation and grant development Required Qualifications • Ph.D. in Neuroscience or related field
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. Preferred: Integration of wet lab findings with computational analysis of multi-omic data (e.g., structural variants, transcriptomics) using R or Python pipelines. Mentoring and Professional Development
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chemistry and a programming background in Python and C++. Preferred: Familiarity with wavefunction-based quantum chemistry. Experience and interest in fundamental studies of chemical reactions, kinetics
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health, health data science, medicine, pharmacy or a related discipline. Experience analysing complex datasets using R, Stata, SAS or Python. Knowledge of epidemiological methods and healthcare data