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proficiency in Python, R, or MATLAB. Experience with Deep Learning frameworks (PyTorch, TensorFlow) and LLM APIs is an asset. Communication: Fluent English skills, both written and spoken, with a demonstrated
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languages (e.g. Python) Very good command of English (oral and written) Additonal skills and experiences that are advantagous: Experience in ocean dynamics Experience in ocean and/or biogeochemical modelling
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learning, data science, atmospheric sciences, geophysics, or related fields. Solid numerical modelling and programming skills (e.g., Python, TensorFlow, scikit learn) are essential, along with a basic
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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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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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. 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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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