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processing; experience with array processing or inverse problems is beneficial. Proficiency in programming languages such as C, C++, Python, or Julia/Matlab is advantageous. Background in computational
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engineering or a related field; strong skills in data analysis, machine learning or computational modeling, preferably applied to neuroimaging data; experience with programming and data analysis (e.g. Python
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bring technical affinity and interest in improving experimental setups, along with basic programming or data-analysis skills (e.g., Python, MATLAB, or R); You have strong communication skills in English
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questions; interest in conceptual modelling, knowledge representation and knowledge graphs; programming skills in Python and knowledge of relevant NLP libraries (e.g. spaCy, Hugging Face Transformers); good
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., Python, RDF) and some skills in web-based data retrieval; good English communication skills; interest in interdisciplinary collaboration. Additional Information Benefits A position for one year, with
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, bioinformatics, computer science, or a related field. Experienced programmer – You are confident in languages such as Python, Matlab or R, and you enjoy building and improving computational pipelines. Proficient
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preferably with data analysis and machine learning (e.g., Python, AI frameworks). You have strong analytical and problem-solving skills, with the ability to translate complex clinical processes into structured
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experience in pytorch and/or tensorflow) knowledge of statistical methods and programming (R and Python) prior experience in machine learning and ideally also on applications in the health domain and/or
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expect to obtain your Master’s degree with the above-mentioned experience around the starting date of the appointment. You have experience in computing languages such as R, Python or similar. You bring
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, or energy storage technologies Proficiency in programming languages such as Python, MATLAB, or similar tools A research-oriented attitude Ability to work in an interdisciplinary team and interested in