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Supervisor: Dr Guiping Wang Course start date: 1st October 2027 Project details For further information about the research group, please visit our website at https://www.cruk.cam.ac.uk/research
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programming in Python, C++, MATLAB, or comparable languages is preferable Experience with turbulent reacting flows, direct numerical simulation (DNS), Large-Eddy Simulation (LES), or combustion modeling is an
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magnetic resonance imaging (MRI), such as arterial spin labeling and diffusion tractography using programming scripts, such as Python and C++ Self-driven, motivated, and creative in designing image analysis
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data (e.g. instrumental, laboratory, environmental, numerical and categorical data, text, geospatial data or time series); c) Experience in Python programming and in data analysis and machine learning
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Magdeburg, Sachsen Anhalt | Germany | about 18 hours ago
programming skills (R, Python and/or MATLAB) and familiarity with multivariate analysis methods (e.g. RSA) Good communication skills and ability to work both within a local and a distributed
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assistance to support their thesis projects. The full job description is here: https://www.dropbox.com/scl/fi/to4moi200ahe3ul6lj814/TA1_Seethapathi_083126.pdf?rlkey=abg7tj181gflnaxn31w4pmdne&st=jjmu0qd4&dl=0
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About The Role We are seeking a talented, numerate researcher at post-Master’s level, with strong quantitative and programming skills (Python and/or R), to join the Solace-AI team (https
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Requirements Experience with laboratory work, environmental monitoring and/or data analysis will be considered an advantage. Programming and data-analysis skills (e.g., Wavemtrics, R, Python or similar
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are excited to work across disciplines and help advance this emerging field. Job Description Primary Duties & Responsibilities: For further details please visit https://caolab.wustl.edu/ . Information on being
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are seeking a PhD candidate to join our young team (Computational Systems Medicine) within the context of the BMFTR-funded DIASyM (https://diasym.mscoresys.de/ ) project, to develop new statistical and