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optimization. Experience with quality-diversity methods is a plus. • Experience with machine learning and artificial intelligence. • Strong programming skills (e.g., Python, C++), and familiarity with ROS
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cooperation with the supervisor. Qualifications Required qualifications: A master’s degree or equivalent in ecology Experience with GIS, spatial statistics and modelling Programming experience: R and/or Python
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, machine learning, database systems, or data mining. Experience with different generative AI approaches such as transformer, or diffusion models. Very good programming skills in either Python, Julia, or R
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leader will be Professor Jonathan Robert Whitlock (read more about the group at: https://www.whitlocklab.org/). About the project The successful candidate will perform large-scale neural recordings in
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experience with R or Python programming is also very desirable. Experience in one or more of the following is an advantage: finite-sample statistical theory, concentration inequalities, statistical optimality
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, HampsonRussell, RokDoc, Interactive Petrophysics, PowerLog, Jason, and Visage Programming skills (e.g., Python, MatLab, R) Publications related to the field of the PhD research topic Language requirement: Good
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in coding e.g. Python, or MATLAB Writing skills for research papers. Experience in applied machine learning, fault diagnosis, laboratory testing and development is a plus. Good knowledge in Norwegian
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is also placed on your: has expertise in software tools related to simulation/ optimization of energy systems, and coding using a high-level language (e.g. Python) has experience in analyzing multi
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: strong background in quantitative analysis and data manipulation proficiency with programming languages such as R, Python, MATLAB, or similar motivation, and potential for research within seafood
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, probabilistic machine learning, or optimization methods is desirable Proficiency with relevant computational tools (Python, PyTorch/JAX, probabilistic programming) Personal skills: Ability to communicate science