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physics or computational data analysis (Python/R/MATLAB, machine learning, or bioinformatics) is highly desirable. Interested candidates should send a CV to michael.chappell@nottingham.ac.uk . Applications
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, numerical methods, or Geant4 / Monte Carlo simulations. Proven experience in scientific software development using C/C++, Python, MATLAB, CUDA, and/or other relevant programming tools. Demonstrated ability
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. Mastery of R and Python is required to execute complex bioinformatics algorithms and statistical models. The applicant exhibits a deep understanding of human immunology and the physiological responses
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) experience with collection and analysis of human physiology, EEG, eye-tracking and behavioural data in a cognitive neuroscience lab. Good to advanced programming skills (Matlab, Python, R) for experimental
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pipeline in Python (using e.g. PyTorch) validation of your results in collaboration with colleagues from various application areas (cross-disciplinary) publication and presentation of your scientific results
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humans are immersed in the environment (VR/AR and/or mobile EEG). The ideal candidate will have: Extensive experience in programming in Python or Matlab and data analysis (essential, please note that
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informatics, or a related field - Strong programming skills in Python and experience with deep learning frameworks (PyTorch preferred) - Experience or strong interest in large language models, multimodal
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mathematics Proficient in programming (Python and C++) Fluent in written and spoken English; knowledge of German is an asset Strong analytical and independent working style Excellent teamwork and communication
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methodological skills using, for example R or Python. - Strong collaborative skills and ability to take initiative. For further information about specific doctoral education, see, Study plans for doctoral studies
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, magnetic fields) and programming skills (e.g. Python) are desirable. Remuneration is based on the TV-L (EG 13, 26 h/week). The contract is limited to 3 years, which is the project duration, set by the German