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Field
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datasets Use cutting-edge bioinformatics software and methods, or develop novel tools when appropriate Design and lead your research project, with sufficient guidance and mentoring. Contribute
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for Space Robotics. The candidate will carry a leading role in this area and support PhD candidates in their thesis research. The candidate will work closely with Prof. Carol Martinez, Prof. Olivares-Mendez
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should in addition relate to two or more research topics of the involved research groups. The research groups are currently involved in research for software design to improve reliability, formal
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robotic arms and performing software and hardware integration Mentor and Advise PhD thesis within the research group. Current topics include, reinforcement learning for tactile-aware manipulation skills
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quantitative research methods. A familiarity with at least one statistical software package or programming language such as R, SPSS, Stata, SAS, or Python Working knowledge of AI systems and the technical and
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reporting – including experience in epidemiology, biostatistics or health economics methods; Experience in research software (eg Stata, SPSS, nViVO, Treeage) Experience in contributing to research grant
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novel methods and statistical software that are tailor-made to the research questions and data of CREATE. The successful candidate will conduct advanced methodological and psychometric research. Potential
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groundwater/geochemical modelling software (e.g., MODFLOW, PHREEQC). Experience with laboratory analytical methods (e.g., chromatography, mass spectrometry). Familiarity with AI or machine learning applications
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numerical analysis skills (e.g., Python, MATLAB) and/or experience with groundwater/geochemical modelling software (e.g., MODFLOW, PHREEQC). Experience with laboratory analytical methods (e.g., chromatography
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disse informasjonskapslene. Databehandlingsansvarlig: HAProxy software Formål: Kreves for at nettsiden skal fungere riktig. Personvernregler for databehandling: HAProxy software - Personvernregler