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: The desired candidate demonstrates strong theoretical and methodological capacities as well as documented expertise in computational methods. Documented experience with R or Python programming is also very
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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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Code scripts using programming languages such as Fortran, Python, and/or MATLAB Validate and test of new methods and perform numerical simulations Pose appropriate initial and boundary conditions for
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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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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-energy systems from different
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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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Preferred selection criteria Experience with programming or scripting (e.g., Python, R, SQL) for spatial analysis or modelling Experience with participatory planning tools or civic technology platforms A
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placing the results in a relevant clinical context that you have good programming skills in Python (PyTorch/TensorFlow) and are proficient in programming in Linux/shell that you are familiar with common
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generative artificial intelligence to medical images and placing the results in a relevant clinical context that you have good programming skills in Python (PyTorch/TensorFlow) and are proficient in
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projects The ability to carry out and publish high-quality research Knowledge on ROS, Python, C++ and Matlab The following qualifications will be considered an advantage when applicants are ranked: Practical