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employment policies. For further information on the WIRe scheme visit the web site at: https://cdtwire.com/ The project based at The University of Sheffield will be supervised by academics at Sheffield and
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analysis; strong letter of recommendation from master project supervisor; Beneficial skill: programming, including some languages of the following list: C, C++, Python, Matlab, Mathematica. Programming
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) System Administration, coding (Python, Bash, SQL, etc.), virtualization, large-scale storage systems, HPC, lab machine administration, web server administration, procurement, research computing
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workflows using SQL, Python, and related tools. Use cloud-based data tools (e.g., OCI, Azure) as needed for data processing and analysis. Ensure compliance with data governance standards and maintain metadata
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testing and analysis. For further information, you may refer to https://www.uni.lu/snt-en/research-groups/svv The position holder will be required to perform the following tasks: Carrying out research in
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annotation; proficiency in R or Python; and excellent English. Experience with spatial transcriptomics and immunology of autoimmune diseases is desirable. Interested candidates should send a motivation letter
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. Knowledge of Python, web scraping, and text analysis would be an advantage. - Flexible, self-motivating, independent and able to manage multiple tasks efficiently. - Proficient in English. - Strong interest
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in C++ and/or Python is expected, and experience in model analysis and parameter optimisation is beneficial. Experience in machine learning and neural networks is desirable. The successful applicant
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
proficiency in Python is required, and hands-on experience with ML libraries such as PyTorch is expected. Theoretical understanding and experience with multi-physics modelling of electrochemical processes can
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. • Proficiency with statistical and geospatial software (e.g., SPSS, R, Python for GIS). • At least 3 years of relevant work or research experience preferred. ________________________________________ Preferably