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Job Description We are looking for a Senior Python Backend Engineer to join our dynamic and growing software development team in the Wind and Energy Systems Division at DTU. As our team expands
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: Utilize Python, R, SQL, and containerization (Docker, Kubernetes) to run data ingestion and processing within automated data pipelines Optimize data processing workflows, reducing manual intervention
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include: Skills in mathematical modelling and machine learning of relevant physical glacier processes (ice sheet and mountain glaciers), with proficiency in MATLAB/Python/Fortran, and related software tools
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dynamics of two- more persons’ data during social interaction (e.g., decision making, turn-taking dynamics, or eye-movements) strong programming skills in e.g., MATLAB or Python strong background in signal
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for Intelligence analysis. Implement Agent-based Modeling tools in Python. Develop and implement novel tools for Intelligence analysis. Carry out benchmark analysis, evaluating improvements over traditional
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Python and Pytorch as well as deployment on GPU clusters. A strong publication record in graph neural networks, geometric deep learning, representation learning, machine learning–based molecular/materials
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) or a similar degree with an academic level equivalent to a two-year master's degree.[BN3] [SK4] Strong programming skills in Python and MATLAB Background in biomedical signal processing, ML, and BCIs
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, mathematical and programming contexts Your research will include extending and contributing to models and codes, including both high- and low-level programming languages, e.g. Python/Matlab to the development
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skills (e.g., Python, Java, or similar) Ability to work independently as well as in an international research team Excellent command of English, written and spoken. You must have a two-year master's degree
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genomics, or a related field Solid programming skills in a relevant language (e.g., Python or R) Experience with population genetic simulations (e.g., SLiM, msprime, or similar) Familiarity with calculating