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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Background in programming (Matlab, python, …), familiar with Multi-body dynamic tools and good knowledge
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. Experience in analysing large environmental datasets using programming tools (e.g., Python, MATLAB). Applicants must be able to work independently and in a structured manner, and demonstrate good collaborative
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criteria Strong skills in relevant programming languages, particularly python Knowledge of, and experience from, the maritime industry is an advantage Knowledge of generative models, reinforcement learning
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modelling, including experience in using a programming language suitable for geospatial data analysis (e.g., R, Python). Experience in applying remote sensing methods, for instance in ecological, geophysical
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programming languages, particularly python Knowledge of, and experience from, the maritime industry is an advantage Knowledge of generative models, reinforcement learning, or geometric deep learning. Experience
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statistical modelling are essential for this position. Demonstrated strong proficiency in programming (e.g., Python, PyTorch/JAX, or similar) and computational skills are required for this position. Candidates
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meet the requirements for admission to the faculty's Doctoral Programme You must have good written and oral English language skills. Experience with programming in Python or similar languages PLEASE NOTE
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meet the requirements for admission to the faculty's Doctoral Programme You must have good written and oral English language skills. Experience with programming in Python or similar languages PLEASE NOTE
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Analysis: Experience with programming (for example Python/Matlab) and image analysis is highly emphasized. Such experience should be documented. Scientific Curiosity: You are eager to bridge the gap between
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criteria Strong skills in programming languages and software-engineering paradigms, e.g. Python; OOA/OOD/OOP. Knowledge of or experience with semantic modeling, knowledge representation and automated