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. Demonstrated skills in Python programming, or other computer programming. Strong interest in data science, such as data collection and curation, modelling. Excellent written and oral English communication skills
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analysis, Python programming, and deep learning frameworks (e.g., TensorFlow, PyTorch) is expected. Prior work in cancer research or medical imaging is an asset. The successful candidate will join an
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into consideration. The applicant should have good knowledge of automatic control, optimal control, statistics, and optimization. Furthermore, good programming skills are required, including Python and C++, and
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, evolutionary, and biogeographical processes Proficient in modeling dynamic systems (e.g. ODE-models or IBMs) Experience in programming, e.g. in Matlab, Python, C++, R etc. A strong interest in and experience
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scripting language (Python or R) database development, maintaining & sharing code repositories. Curiosity to solve fundamental biological questions and enthusiasm to lead new independent projects. Ability
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to the application deadline. PhD in computer science, electrical engineering, biomedical engineering, or a related field. Experience in Python programming, natural language processing, and multimodal deep learning
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transient absorption spectroscopy. Proficiency in ultrafast laser pulse compression, including pulse characterisation techniques like FROG and autocorrelation. Good coding skills (e.g. Python, MATLAB, LabView
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. Documented experience and interest in developing models coupling the dynamics of soil, plants, and the atmospheric boundary layer as well as strong quantitative and programming skills (in MatLab, R, Python, C
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of gravitational wave physics and the LISA mission. Knowledge of python and other programming languages is a strong advantage. Experience of handling large data sets within international collaborations. It is