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Field
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. Each PhD project can approach privacy-preserving data sharing from different angles, depending on the candidate’s strengths and interests, following one or more tracks: Privacy-preserving data sharing
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of computational micromechanics. Knowledge of aluminium alloys. Experience using non-linear finite element software, e.g., Abaqus. Experience with programming using Python and Fortran. Experience with conducting
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Intelligence experience skills Python (for data analysis, automation, scripting, and simulations) Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: Work
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programming (e.g., Python, PyTorch/JAX, or similar) and computational skills are required for this position. Candidates must have excellent interpersonal and communication skills. Personal suitability and an
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Drilling. Desired skills: Machine Learning and Artificial Intelligence experience skills Python (for data analysis, automation, scripting, and simulations) Personal characteristics To complete a doctoral
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and geoprocessing of environmental data; Competences in quantitative data analysis and statistical modelling applied to ecological studies; Experience in the use of programming languages such as Python
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animal surgery is a major advantage. Experience with advanced live-cell light microscopy will also be considered a major advantage. Data Analysis: Experience with programming (for example Python/Matlab
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. Experience in one or more scientific computing languages (Julia, Python, Matlab, etc) You must meet the requirements for admission to the faculty's Doctoral Programme (https://www.ntnu.edu/nv/phd) Good oral
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. About the PhD position : This project is part of Work Package 1: Hormone Dynamics within the ENDOTRAIN network. It aims to investigate how different replacement therapies affect immune function and
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the EU AI Act, is necessary Familiarity with popular computer languages and popular tools such as Python, MATLAB, C++, along with a strong willingness to learn more, is essential PLEASE NOTE: For