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with the objectives of the call, as well as its relevance to SciLifeLab, will be considered in the overall assessment. About the position SciLifeLab Fellows are based both at SciLifeLab and at one
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, chemical) engineering, bioelectronics, plant biology or equivalent. We are looking for a candidate who is / has: Academically Strong: Holds a relevant doctoral degree with a solid track record. Technical
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, as well as on local servers. Automating data handling and integrating systems for laboratory tracking (samples, steps, reagents), document management, and KPI visualization. Developing and supporting
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qualitative and quantitative NGS dataA track record of publishing peer-reviewed academic papersEvidence of ability to work effectively both independently and as a member of a small team.Evidence of ability
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experience with ML methods. Knowledge of common ML frameworks Experience in analyzing qualitative and quantitative NGS data A track record of publishing peer-reviewed academic papers Evidence of ability
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, the project seeks to address key challenges such as alignment of objectives, heterogeneity in agent capabilities, and developing robust cooperation logic. Supervision: Professor Jonas Mårtensson The possibility
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the most effective, sustainable, and accessible technique, and prevent spread of PFAS into the environment. The objectives are to evaluate the effectiveness of different remediation techniques by themselves
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fluorescence microscopy. It is meritorious that the applicant has shown: A solid track record from the PhD and postdoctoral period, preferably in the field of intracellular protein degradation. Experience with
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and Social Change, will collaborate to jointly reach the objectives of the project. You are expected to closely collaborate with other researchers both within computer science and other fields, in
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for this position. Experience of working with tracking of impurities and chemical pollutants, wood waste recycling, or characterisation of secondary materials for use in various industrial value chains is an