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contribute to the CELECT work package on AI-Assisted Engineering. The research will focus on developing AI-assisted methods for parallel hardware-software co-design of mechatronic systems, enabling virtual
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molecular cell biology (using techniques such as cell culture, CRISPR/Cas9 based genome editing, protein expression and interaction analysis, confocal and live cell microscopy), as well as bioinformatics
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and join fieldwork in up to three of these locations, perform laboratory analyses together with a research technician, and perform the bioinformatic and statistical analyses of the genomic data
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cell culture, CRISPR/Cas9 based genome editing, protein expression and interaction analysis, light microscopy and cancer assays. A solid background in data analysis, bioinformatics and presentation
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in pharmacy, computational chemistry, medicinal chemistry, bioinformatics, or a closely related field. Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian
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, bioinformatics, or a closely related field. Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system Strong background in molecular modeling, molecular
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on competence: contributing to research software development supporting simulations and/or data workflows (HPC/parallel environments), and open/reproducible release of data and analysis scripts under FAIR
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adaptation. Metabolic rate is essentially a measure of the energetic cost of living, its function being to provide the ATP that fuels all processes within the organism. Thus, metabolic efficiency likely has a
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Computer science » Computer systems Computer science » Programming Technology » Computer technology Technology » Information technology Medical sciences » Health sciences All Researcher Profile First Stage
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iC3 are listed here: https://ic3.uit.no/news/ic3-msca-support ) During the proposal writing process, iC3 will provide you with strong support, including trainings, slides and templates, examples of past