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Field
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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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at meeting the projects objectives and to write publications for peer-reviewed scientific journals. Qualifications A person who has been awarded a doctorate or a foreign qualification deemed to be
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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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and programming experience (e.g. R, Python) are required. Experience with psychophysiological methods, such as eye tracking and skin conductance, is advantageous. Excellent academic merits, including
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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