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associated with integrated workflows such as ETS and TCI. Develop coupled multi-physics workflows using IMAS and MUSCLE3. Integrate numerical simulation codes written in Python, C/C++ and Fortran. Design
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for the position Documented experience using and developing AI tools and models. Hands-on experience with modern AI frameworks such as PyTorch, TensorFlow, or equivalent Strong programming skills in Python and
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and genetic/epigenetic analyses and research on type 2 diabetes or related cardiometabolic diseases. Documented programming and statistical analysis skills in both R and Python. Documented experience in
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, or Python. Experience in visualization software, e.g., Blender, DragonFly. Knowledgeable in programming, e.g., Python. Experience in developing user-friendly Graphical User Interfaces (GUI:s) High motivation
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of medium-resolution satellite remote sensing data such as Landsat and Sentinel-2. Very good programming skills (e.g. Python, JavaScript). Very good oral and written proficiency in English. Other merits
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, Matlab or Python) and demonstrated proficiency in the use of statistical tools are considered meritorious What you will do Take courses at an advanced level within the Graduate school of Maritime
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, computational biology or a related subject area. Experience in human genomics and a good understanding of cancer genomics are required. The candidate should have proficiency in R, python, or comparable
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to research proposals or applications for external funding. Strong programming skills in Python and/or MATLAB, with experience in scientific computing, signal processing, simulation, or machine-learning
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Laboratory, Sahlgrenska Academy. Meritorious experience includes: – working in R/Python and UNIX environments – statistical modelling in genetics or epidemiology; – analysis of copy-number variants
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laboratory and follow applicable biosafety procedures, risk assessments, and local safety regulations Analyse experimental data in R and/or Python and contribute to statistical modelling and visualization