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(MATLAB, Python etc.) Personal characteristics Structured Thourough Trustworthy Innovative, creative and open minded Emphasis will be placed on motivation, personal and interpersonal qualities. We offer
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the following Advanced cell cultures (e.g. 3D cultures, organoids/tumouroids) High-content microscopy Data analysis in commonly used bioinformatics programming languages, e.g. python, R, etc If you are
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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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: 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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research infrastructure, hosted at the USIT TSD service (https://www.uio.no/english/services/it/research/sensitive-data/index.html). The main purpose of the fellowship is to qualify researchers for work in
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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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, 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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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