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Field
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discipline. Essential Good programming skills, preferably in Python/C#. Experience with machine learning, deep learning, or experimental AI evaluation. Interest in secure distributed AI, federated learning
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offer visa sponsorship for this role. Candidate requirements Essential Skills in programming, preferably in Python, and a suitable undergraduate / masters degree in the discipline of Computer Science, NLP
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expertise across all three. Good mathematical and analytical skills. Programming experience (such as Python, MATLAB, or similar) for simulation-based research, or be willing to develop this during the PhD
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, or many-body effects in semiconductor systems. Experience with cryogenic instrumentation and low-temperature optical measurements. Experience with Python, MATLAB, LabVIEW, or similar scientific programming
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particular text and/or image analysis and platform data Interest in topics related to political communication Knowledge of Python and/or R Strong quantitative analysis skills Teaching experience Excellent
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/ experience in e-learning (TARGET CRITERION) IT skills (Office products, data evaluation, Python) (TARGET CRITERION) Team player and high social/communicative skills (TARGET CRITERION) Knowledge of MIP
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. Practical working knowledge of E-prime, Gorilla, Qualtrics, MATLAB and or Python as well as eye-tracker and EEG systems. Relevant health and safety knowledge and communication skills. Benefits and How
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(e.g., Python, MATLAB, C++, etc). Strong written and verbal communication skills. Please contact the main supervisor, Dr Emily Manchester - [email protected] . Please send your CV and a
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proteins Do ligand docking and pocket design Design and filter in silico libraries at scale Write strong Python and are comfortable with structural-biology tooling Can own a design campaign end to end, and
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scientific programming (e.g. Python, MATLAB, C/C++) is highly desirable, as is a strong publication record and the ability to communicate research effectively within an international collaboration. How