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, e.g., time-series analysis, land use/land cover classification, machine learning methods Experience analysing and visualizing large remote sensing datasets in modern programming language (e.g. R, Python
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taken into account. The assessment shall attach particular importance to documented qualifications for: previous experience with bioinformatics previous experience in Python knowledge in glycobiology
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requirements: Very good oral and written proficiency in English. Ability to drive and independently progress the project Strong computational skills with considerable experience with programming with python
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analyses Knowledge of modelling and programming in Python or MATLAB and CFD. Experience with 3-printing. Experience in building/assembling equipment on the lab/pilot scale. Previous experience of publishing
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, including deep neural networks and relevant frameworks * Documented several years of experience in development with Python and version control systems, e.g., Git * Documented experience in large-scale data
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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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optimization, AI, power electronics with good publication record· Good at coding in python with different DRL algorithms training, or good at digital platform development will be a preference Knowledge of
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Bioinformatics, Computational Biology, Systems Biology, Computer Science, Biochemistry related to proteomics and mass spectrometry, or a related field. Strong Python and R skills for omics data processing, QC
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Experience A PhD in bioinformatics, computational biology, systems biology, or a related field, or equivalent scientific expertise Proficiency in Python and R, particularly for data analysis, visualization
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at the master’s level, strong programming skills in Python, and experience with at least one of the popular deep learning libraries (PyTorch, TensorFlow, Keras, etc.). Good verbal and written communication skills