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Research Studentship in Neural Engineering 3.5-year D.Phil. studentship Project: Sleep classification for implanted neurostimulation systems Supervisors: Dr. Joram van Rheede, Prof. Timothy Denison
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programming skills (e.g., Python, MATLAB) would be desirable but are not essential. How to apply Interested applicants should contact Prof Tom Coulthard (T.Coulthard@mmu.ac.uk ) for an informal discussion
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analysis tools (e.g., GraphPad Prism, R, or Python) for statistical analysis and data visualization. Selection process For more information please contact Prof. dr. Alex van Vliet, tel.: +32 16 37 39 48
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discipline. Experience with Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow). Demonstrated knowledge of multimodal data processing (e.g., vision, language, audio) and machine learning techniques
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, E13 TV-L, 65%) The position is limited for three years. Description of the project The research group of Prof. Dr. Dr. h.c. Frank Schreiber at the University of Tübingen works on the physics
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, E13 TV-L, 65%) The position is limited for three years. Description of the project The research group of Prof. Dr. Dr. h.c. Frank Schreiber at the University of Tübingen works on the physics
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experience with finite element or finite difference modelling and its underlying fundamentals. The student should be able to program in MATALB or Python (MATLAB preferred as lead supervisor is more familiar
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neuroscience. Dr. Muhammet Ikbal Sahan studies the interaction between spatial cognition and working memory, focusing on neural mechanisms underlying memory search. Prof. Dr. Katinka Dijkstra develops and
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programming languages such as Python and experience with deep learning frameworks (e.g., PyTorch, TensorFlow) is highly desirable strong interest in interdisciplinary research combining imaging, machine
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with bioprocess modelling and simulation tools (e.g., Aspen Plus, MATLAB, or Python), TEA, and LCA. Strong data analysis, problem-solving, and teamwork skills. Commitment to sustainability and research