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, or a related field. Proven experience in machine learning, deep learning, generative AI and data mining. Strong programming skills (e.g., Python, R, MATLAB, or similar). Experience with data
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Biology; Computational Biology; Mathematics; or related fields. You are experienced and comfortable with running computational biology analysis on e.g. Python, MATLAB, and/or R. You are curious, motivated
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efforts and contribute to publications in reputable academic journals. Qualifications: A PhD in Civil and Environmental Engineering or a related field High proficiency in programming languages (e.g., Python
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simulation tools A solid background in programming and signal processing (C, Matlab, Python, …) Experience from satellite projects (development, operation, data analysis) A desire to achieve good oral and
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
programming languages and software platforms relevant to Digital Twin development (e.g., Python, MATLAB, Revit, Unity, or IoT frameworks). Excellent written and verbal communication skills in English. The terms
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, prior distributions and posterior predictive checks, model comparison, programming in R (python/Matlab), implementations using R-packages rstan/JAGS and brms/STAN or equivalent interfaces. References
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discipline. Programming & Data Skills: Strong proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning
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). Advantages strengthening the candidate’s profile, but strictly required: Experience with machine learning or system optimisation; proficiency in Python or MATLAB. Previous authorship or co-authorship
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EUMETSAT - European Organisation for the Exploitation of Meteorological Satellites | Darmstadt, Hessen | Germany | 2 months ago
scientific applications software in Python, IDL and/or MATLAB, including software development and management tools (e.g. GitLab). Experience with operational data processing software (e.g. Java, C++, Fortran
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of programming techniques in Python, C, and C++; Advanced proficiency in Windows operating systems and Office 365 suite; Advanced knowledge of the MATLAB environment; Very good knowledge of AVR and STM32