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Field
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the instruments Working at different project parts within the consortium Bioinformatic analysis and quantification of microscopy data, images, and other datasets … your skills are what we’re looking
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molecular and cell biology Experience in Crispr/Cas9 gene editing Experience in mouse modeling in cancer Experience in flow cytometry Experience in bioinformatics This is appointment has an initial term of 1
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. We are looking for a highly motivated and ambitious candidate with an interest in quantitative methods, bioinformatics, clinical neuropsychology, and network theory of psychopathology. The candidate
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genomics” in the project LERCO (https://lerco.osu.eu/ ) Building the new team (recruiting and supervising at least one postdoc and at least one PhD student) Contributing to the deliverables of the project
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advice to the users, technology development and implementation. The Director will also closely interact with users, the YCGA bioinformatics team, and clinical staff and possess excellent interpersonal and
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(bioinformatic) analyses as a plus We are committed to building an inclusive and diverse team, welcoming applications from individuals of all backgrounds and experiences. Your unique perspectives will enrich our
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, Division of Infectious Diseases Posting Number req24751 Department Medicine Department Website Link https://medicine.arizona.edu/deptmedicine Location University of Arizona Health Sciences Address 1501 N
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Postdoctoral Research Associate, Division of Infectious Diseases Posting Number req24751 Department Medicine Department Website Link https://medicine.arizona.edu/deptmedicine Location University of Arizona
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) , was created. The Department of forest genetics and plant physiology is part of Umeå Plant Science Centre (UPSC, https://www.upsc.se ) which is a centre of excellence for experimental plant research and forest
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(DNA extraction, DNA quality check) Bioinformatic processing and analysis of next-generation sequencing data GIS-based landscape analysis Statistical modelling of the relationship between genetic