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applications, specifically targeting the prognosis and risk prediction of Heart Failure (HF) in patients. This research integrates AI safety, explainability, and multimodal medical data analysis to enhance
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sampling and measurement approach for improved precision in soil carbon monitoring”. Important parts of the work are fieldwork, laboratory analysis, data evaluation and academic publishing. The employed post
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methods. You should have practical experience in molecular cloning, expression and purification of recombinant proteins, various biochemical, biophysical or molecular biological analysis techniques. You
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advanced spectroscopy, electrochemistry and device design and development. You will collaborate closely with other members of the group as well as external academic and industrial partners. For information
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should have experience in method development, and various molecular biology and biochemical analysis techniques. You should also have a strong research track record, as evidenced by first authorship
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their suitability as absorbents, data on processing needs and the effectiveness of secondary sourced materials in treatment systems at representative scales. This position aims to generate new knowledge
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from work with plant-microbe interactions and especially molecular studies on plant viruses Basic skills in bioinformatics (such as analysis of NGS data) As postdoctoral appointments are career
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We are looking for a postdoctoral researcher to develop and implement tools for analysis of output from Bayesian inference under phylogenetic models About the position A postdoctoral researcher
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of Plant Protection Biology, Alnarp, Sweden in partnership with Dr. Nicolai V. Meyling at Copenhagen University, Denmark. The postdoc will collaborate with a PhD student at Copenhagen University, where parts
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monitoring will be particularly useful. A solid background in statistical data analysis and previous experiences with catchment hydrochemical modelling are merits. Excellent English skills, both in speaking