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Python and PyTorch Assist in dataset preparation, preprocessing, and augmentation Run training and evaluation pipelines Analyze experimental results and document findings Collaborate closely with graduate
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engineering Computer science -> Cybernetics Positions: PhD postion Type of contract: Temporary Job status: Full-time Hours per week: 40 How to apply: https://www.fei.vsb.cz/en/applicant/doctoral-study/ Select
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of the most recent econometric methods to study the evolution of wealth accumulation from incomplete tax data. The applicant needs to have advanced programming skills in Stata, R and Python
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. Practical experience applying machine learning or deep learning methods to biological data. Proficient in Python, with working knowledge of bash and experience using HPC or cluster environments (e.g. SLURM
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of Career Development is committed to inclusive excellence, and we encourage applicants from distinct backgrounds. Learn more about our office, here: https://www.american.edu/sis/career/. Applicants
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, computer science or a related field. 2. Proficient MATLAB, Python and/or R programming and data visualization experiences. Preferred Skills and Abilities 1. Previous experience with human scalp / icEEG
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part of the Forschungsverbund Berlin (https://www.fv-berlin.de/) and the Leibniz Association (https://www.leibniz-gemeinschaft.de ). You can find more details on the institute webpage: https://www.ikz
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of machine learning or quantum computing Programming skills in Python and/or C/C++ Experience with scientific software tools and numerical libraries Familiarity with Linux-based computing environments Ability
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systems using tools such as MATLAB, Python, COMSOL Multiphysics, Lumerical, or equivalent platforms. Contribute to experimental laboratory work in ultrafast and nonlinear optics. Develop and optimise
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support, utilizing pharmacokinetics database PK-DB and individualized patient data (more information: https://livermetabolism.com/atlas ) Requirements: - completed scientific university degree in (bio