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samples, lack of training data and sample variability. In this project we aim to develop AI/ML workflows for improved quantitative analysis of LNPs. Your responsibilities will include optimisation of data
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evaluation of semiconductor samples, with respect to nanowires. Supervision of degree projects and doctoral students Administration related to the work duties listed above Qualification requirements
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industry and includes practical process work, sample handling, analysis and interpretation of results in relation to the project objectives. Detailed description of the work duties, such as: plan, conduct
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, your interest in the ICF and KIND’s research area, and how your profile matches the position * Contact details for at least two referees After a first round of selection and interviews, work samples or
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tasks will include testing newly designed primer sets on samples derived from a range of tissues and substrates and extracting DNA from these diverse substrates as needed. An important goal of Rapid
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Hydrogel formulation, chemical crosslinking, biomechanical sensing Biological sample staining and advanced light microscopy techniques Culture and characterization of mammalian cells, preferably cancer
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innovative statistical methods. The main focus will be on methods for sample size estimation and reliability for functional data. More applied projects aimed at improving the understanding of movement data may
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Published: 2026-09-17 Last application date: 2026-10-15 Where to apply Website https://academicpositions.com/ad/kth-royal-institute-of-technology/2026/postdoc… Requirements Research FieldComputer scienceYears
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format. The application should be registered via Umeå University’s e-recruitment system Varbi (https://umustipendie.varbi.com/en/what:job/jobID:950146/ ) and submitted by the deadline 17th of September
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characterization of thin-film samples, e.g. spin coating, physical vapor deposition, spray coating, surface property characterizations, General skills regarding fabrication or characterization of optoelectronic