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biomedical research. Your profile Master's degree in computer science or related discipline Experience with Python and recent deep learning frameworks (e.g. Pytorch, MONAI) Strong interest in image analysis
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statistics. Advanced programming skills. Advanced verbal and written communication skills (fluency in English is required). Desirable: Fluency in Python. Experience with algorithm design, machine learning and
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engineering Knowledge of machine learning (deep learning) Basic knowledge of computer science or software development, e.g., using Java, Python, or C++ Good communication and information skills, goal-oriented
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with Python and common AI frameworks (PyTorch, TensorFlow) Interest in hallucination detection, robustness, trustworthiness, and (optionally) explainability for autonomous systems (Optional) Experience
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others) compatible with epidemiology. Produce a digital twin for national suicide and self-harm rates. You will expand your data wrangling, analytical and programming skills on python and develop expertise
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equivalent in a related discipline. This project would suit someone with: Experience with programming (Python, MATLAB), background in aerospace, computer science, robotics, or electrical engineering graduates
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Requirements: Applicants should hold an MSc or Diploma in Engineering, Computer Science or a related discipline. Background in Machine Learning and Artificial Intelligence. Strong programming skills (Python
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-supervised tasks (i.e. k-nearest neighbours, Decision Trees, Neural Networks, Logistic Regression, Gradient Boosting, Self-Organizing Maps); Advanced knowledge of Python programming, namely numpy, pandas
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data assimilation. • Proficiency in one scientific programming language: MATLAB, Python, or Julia. LanguagesENGLISHLevelGood Research FieldOther Internal Application form(s) needed
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programming skills (ideally Python) and experience with data analysis. Self-motivation and curiosity to learn and grow independently. Strong communication skills in English; German is a plus. Enthusiasm for