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Field
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systems Data analysis, interpretation, and collaboration within the CRC: bioinformatics-assisted interpretation of molecular and functional data, close interaction with collaborating groups Your Profile
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The Department of Biostatistics & Bioinformatics at Duke University invite applications for a postdoctoral associate position in mathematical modeling, as part of a new NIH-funded Center for Excellence in
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adipocytes to brown adipocytes A minimum commitment of 5.5 working days per week is required Requirements A Ph.D. degree, preferably in Biology, Biomedical Sciences, Multi-omics, or Bioinformatics A strong
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techniques (qRT-PCR, ddPCR, NGS, WB, IHC, IF, cytometry). Analysis of -omics data using bioinformatics tools, preparation of presentations of results and writing of articles. Candidates should have the ability
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corresponding to the requirements defined by the EU Directive 2010/63/EU and the Réglement Grand-Ducal of the 11th January 2013 (FELASA or equivalent) will be a plus. • Experience on bioinformatic analyses
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, pharmacological modulation of signaling pathways, spatial gene expression profiling, and bioinformatic analysis. More about the position The main purpose of the fellowship is research training leading
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about new technologies and programming. Bioinformatics, Biosystems engineering, Data Science, Mathematics, Statistics, Computer Vision or related fields. In this case, candidates must demonstrate
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. The candidate should have a strong interest in biostatistics and genetics. Essential: Master’s Degree in biochemistry, biomedical sciences, bioinformatics, (bio)statistics, bioengineering, computer science
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, immunological and/or virological techniques. Experience in cell culture and animal models. Skills in bioinformatics. Catalan and Spanish are valued. LanguagesENGLISHLevelGood Research FieldBiological sciences
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interested in working at the boundaries of several research domains Master's degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline