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environments.DutiesThe PhD student will carry out research in the area of cooperative autonomous systems. The successful candidate will explore topics such as: Multi-agent reinforcement learning Distributed control
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(subproject B4 - Multiobjective optimization of traffic signals for multimodal traffic): This project aims to develop a cooperative and adaptive traffic signal control approach that addresses the needs
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civil/electrical/control engineering or mathematics or related study programs with a solid basis in choice modelling and/or reinforcement learning, with knowledge of MATSim is advantageous. Description
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and interpretation of results Supporting the analysis of multiple mitochondrial ‘omics datasets, such genomics, transcriptomics and clinical data Collaborating regularly with the team members and
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PRISMA guidelines Design and implement search strategies across multiple scientific databases to identify relevant studies Critically appraise and extract data from peer-reviewed literature using
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biomedical engineering. We currently host several Ph.D. and postdoctoral fellows from Denmark and multiple nationalities. The group’s research interest spams from musculoskeletal simulations to design and
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of Bergen. About the project/work tasks: Pregnancy is a unique time of life where mother and child live in symbiosis. This relationship however induces multiple symptoms for mothers including nausea, vomiting
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life where mother and child live in symbiosis. This relationship however induces multiple symptoms for mothers including nausea, vomiting, bleeding, pain, fatigue and many more. Do you want to discover
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“Assessing and controlling seizure-modulating fluctuations (ACORN)”, we are excited to recruit a motivated individual with research experience in a relevant subject area to work with us on this exciting
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or sensor arrays. Experience generating, processing and analysing large material property datasets including correlating between multiple techniques, or developing computational reconstruction techniques