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Observation data analysis. You are fluent in Python and have solid experience with relevant machine learning and geospatial libraries such as PyTorch, TensorFlow, GDAL, rasterio, and zarr. You have experience
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following: Energy management and control for energy islands, Electricity and ancillary service markets, Programming (e.g., Python, GAMS) and power system simulation tools, Development of measurement and IoT
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or Python. Experience of and interest in collaboration with international partner organisations and professional representation at national and international events. Interest in method development and
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and interest in modelling and optimisation of systems with both commercial and bespoke tools. Good programming skills, for example in Matlab, C++, Fortran or Python. Experience of and interest in
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Python and Matlab (at minimum). Be fluent in English, both spoken and written. *The date on your doctoral degree certificate is considered the official date of completion. Exceptions to the three-year
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Demonstrated knowledge working with proteins in the last three years Meritorious: Good knowledge of glycobiology Good knowledge of Python Employment The position is fixed-term for 2 years on a full-time basis
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proficiency in English. Demonstrated knowledge in mammalian cell culture in the last three years Meritorious: Good knowledge of glycobiology Good knowledge of Python Employment The position is fixed-term for 2
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learning, AI, or statistical modeling. Proven ability to handle large and complex datasets, including preprocessing and integration. Strong programming skills (e.g., Python, R, MATLAB, or similar
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integration of heterogeneous data sources. Experience with signal processing and statistical modeling of high-dimensional data. Strong programming skills in Python and relevant ML frameworks (PyTorch
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decision is made. Strong experience in deep generative models (e.g., diffusion models, VAEs, transformers) Programming proficiency in Python and PyTorch Interest in multimodal human communication and virtual