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Field
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), it must be equiva-lent to a master in the Norwegian educational system Documented proficiency in scientific programming (e.g., Python) Documented proficiency in deep learning frameworks (e.g., PyTorch
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and identify green skill gaps within the prison context. Phase 2: Data Modelsling and Structuring: Utilize data analysis techniques (e.g., Python and statistical modelling) to process information
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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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reliable, low-emission power for critical infrastructure and industrial applications, such as data centers. The research will address dynamic load sharing among different technologies, including
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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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the decay radiation is used for diagnostic and/or treatment purposes. Unlike external beam therapy, which is used to irradiate a tumor in a predetermined site in the patient, the biomolecules employed by
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in Python (e.g. numpy, pandas, PyTorch and/or JAX). Experience analysing complex biological, imaging or spatial datasets, or strong evidence of rapidly adapting to new data domains. Excellent
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Python programming skills. Excellent skills in written and oral English. The candidate's research proposal must be closely connected to the call and the research of MAI. Personal suitability and motivation
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reinforcement learning) numerical simulation of quantum dynamics Proven programming skills (e.g., Python/Julia/C++), including experience with scientific computing tools Ability to communicate research results
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, harmonizes, and preprocesses multi-cohort longitudinal datasets to ensure comparability across different study designs and measurement structures, ensuring reproducibility and adherence to FAIR data principles