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- NTNU Norwegian University of Science and Technology
- NTNU - Norwegian University of Science and Technology
- University of Bergen
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one general purpose programming language (R or python) be able to work independently and in a structured manner, and have the ability to cooperate with others show ability and motivation to carry out
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) Research experience in neuroscience, biological psychiatry, or mental health Skills in statistical analysis and programming (e.g., R, Python); willingness to develop these skills is essential Strong ability
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selection criteria Solid theoretical background in robot perception and navigation. Deep foundation in modern machine learning. Solid programming skills in C++ and Python. Experience with ROS is a plus
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for the position. Preferred selection criteria Solid theoretical background in robot perception and navigation. Deep foundation in modern machine learning. Solid programming skills in C++ and Python. Experience with
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programming expertise of tools or performing analysis in Python and R is an advantage excellent oral and written communication skills in English skills in written and oral Norwegian/Swedish/German are
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the possibility of linkage to administrative registers. The role of the candidate will focus on developing reproducible code (Stata, R, Python) to curate raw accelerometer data and derive metrics that characterize
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for admission to the faculty's Doctoral Programme . Good programming skills in one or several languages (e.g., Python, Julia, MATLAB, Fortran, C++). Competence in mathematical modeling and languages
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-oriented compiled programming language (java or C#) and one general purpose programming language (R or python) be able to work independently and in a structured manner, and have the ability to cooperate with
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data, quality assessment/filtering, alignment and variant detection. Experience with long-read (PacBio/ONT) NGS sequencing, genome assembly and annotation Strong competence in programming (shell/python/R
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relevant programming languages, particularly python Knowledge of, and experience from, the maritime industry Knowledge of generative models, reinforcement learning, or geometric deep learning. Experience