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researcher position in mass spectrometry-based metabolomics for biomarker discovery Department of Chemistry for Life Sciences conducts research and education in analytical chemistry, biochemistry and organic
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in a label-free manner. In this project, we will develop a novel label-free SMDT that can synergistically detect both charge and conformation of biomolecules based on nanopore and nanowire field-effect
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based on salt melts. The methods are primarily molecular dynamics simulations and small DFT calculations, but the software COSMO-RS may also be used. The postdoctoral fellow will be part of Prof. Patrik
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develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates
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development over the past 10,000 years, thereby creating a comprehensive picture of human prehistory regarding language, culture, and genetic evolution in Africa, Oceania, and Eurasia. Read more: http
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principles, and computer-based analysis methods. The research will include investigating aggregated data from genetics, archaeology and linguistics Requirements PhD degree in Population genetics
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analysis in medicine. Experience of software version control with Git, typesetting with LaTeX, use of Linux computers; Experience with graph-based methods, and graph convolutional/neural networks; Experience
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earlier. The three-year period can be extended due to circumstances such as sick leave, parental leave, duties in labour unions, etc. The assessment of applications is based primarily on the applicant's
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describing your previous research experience and current research interests (max two pages); a copy of relevant diplomas and grades (translated into Swedish or English, e.g. as provided by your university); a
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recycling. Current industrial recycling is mainly based on pyro- and hydrometallurgical methods, or a combination of those, to recover critical elements as well as elements that should not be released