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discipline. Programming & Data Skills: Strong proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning
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position see https://www.visual-intelligence.no/about/open-positions . We expect that you will engage in collaborative research with other members of the centre and the research group. You will collaborate
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tools such as SPM, FSL, AFNI, and/or DSIStudio etc will be an advantage. Signal processing and programming skills (e.g. with Matlab, Python) will be an advantage. Ability to use statistical packages
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graphical and statistical tools (e.g. python, R). Willing to exchange with national and international project collaborators including potential research stays abroad. Very good co-operative skills, and the
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skills (e.g., R, Python) Language requirement: Good oral and written communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from
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degree have until June 30, 2026 to complete the final exam. Desired qualifications: Programming experience in Python/IDL/Julia, C/C++ or Fortran Personal suitability and motivation for the position
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data analysis using, e.g., Origin or MatLab Programming skills, e.g. proficient with Labview or Python Language requirement: Good oral and written communication skills in English English requirements
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educational system A scientific profile relevant for the nuclear medical applications research programme, as outlined above A solid background in scientific computing, including proficiency in Python
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 2 months ago
., Seurat, Scanpy, DESeq2). Experience with spatial transcriptomics and multi-modal data integration is highly desirable. Proficient in Python, R, and ML libraries such as PyTorch or TensorFlow. Strong
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https://www.ucl.ac.uk/human-resources/policies/2021/jun/conditions-service-academic-staff for more information The UCL Ways of Working supports colleagues to be successful and happy at UCL through