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with programming in Python is a requirement Experience with telecentric particle imagers, image analysis, and machine learning for particle recognition is an advantage Experience of working with wave
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have submitted his/her doctoral thesis for assessment prior to the application deadline. It is a condition of employment that the PhD has been awarded Experience with programming in Python is a
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) Demonstrated proficiency in R and/or Python for genomic data analysis Experience with next-generation sequencing data analysis (RNA-seq, ATAC-seq, ChIP-seq, or equivalent) Ability to work independently and
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years in the Norwegian educational system A solid background in scientific computing, for example Python Candidates without a master’s degree have until 1 October 2026 to complete the final exam. Desired
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Microsoft Cloud Civil Liberties & Health Policy Research Fellow - Law Cordell institute for Policy i
research. Familiarity with statistical, qualitative, or analytic software (e.g., R, Stata, SAS, Python, NVivo, or similar platforms). Demonstrated record of scholarly writing, policy analysis, publication
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experiment codebases (prefer Python). Apply causal inference and discovery frameworks to clinical questions. Translate proposed methods and frameworks into real-world clinical workflows. Contribute to grant
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databases (SQL database development required). - Experience developing and managing Python codebases in git. - Demonstrated capability or familiarity with developing front-end software tools
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machine learning (including deep learning and/or reinforcement learning) numerical simulation of quantum dynamics Proven programming skills (e.g., Python/Julia/C++), including experience with scientific
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Experience with MRI or clinical research A strong interest in learning fMRI in particular Programming experience (e.g., Python, MATLAB, R, shell/bash) Familiarity with statistical software (e.g., R, SPSS) and
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in relevant statistical packages including Stata, R, SAS, PySpark and Python Previous experience in the management and analysis of linked health data, the production of statistical analysis plans and