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/SinglePageApplicationForm.aspx… Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications Professional skills Experience in: Reinforcement Learning (RL), Model Predictive Control (MPC
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: Required qualifications: Experience with data analysis and familiarity with statistical software (e.g., R, Stata) The applicant must be fluent in oral and written English, see documentation requirements
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interest in clinical research, neurodevelopment, and women’s and children’s health. The ideal candidate will have: Required qualifications: Experience with data analysis and familiarity with statistical
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in charge of planning and conducting laboratory experiments with zebrafish and salmon, analyze data, and search for exposure and effect biomarkers of PFAS chemicals. The position is based in Bodø and
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-on experience in benthic ecology and statistical analysis are required. Additional experience in analysing biodiversity data, ship-based sampling, marine plankton (preferably meroplankton), handling and analysing
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of international work experience in the water treatment industry. Depending on your research topic, you will have the opportunity to collaborate across NTNU departments and the aquaculture industry in Norway. Your
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(or equivalent) in biology, bioinformatics, genetics, molecular ecology, or a related field. Solid knowledge and practical experience in molecular ecology, population genetics, and statistical and bioinformatic
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at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Skill in experimental design and wet-lab analyses Experience with bioreactor
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dynamics, numerical modeling, and scientific programming is required. The following areas of expertise are considered beneficial: Experience in scientific computations using Python, C, C++. Experience in
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a Scandinavian language and possess a valid driver’s license. Prior experience with camera trapping, molecular techniques, and dive surveys is considered beneficial. A master’s degree in a relevant