25 data-"https:"-"https:"-"https:"-"https:"-"https:"-"CEA-Saclay" Postdoctoral positions at University of Oslo
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and Data Science Apply for this job See advertisement About the position We invite applications for position as Postdoctoral Research Fellow in statistics and data science available at Department of
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/organisation/geohyd and https://www.mn.uio.no/geo/english/research/groups/remotesensing ). We are a growing, lively, friendly and collaborative research environment in cold regions sciences, in
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– Discovering Rare Proteins Across the smORF Landscape See advertisement About the position Would you like to use large-scale data analysis and machine learning to uncover proteins that conventional
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background in image analysis or similar scientific data analysis using Python or MATLAB, An interest in working in a multidisciplinary research group. Desired qualifications: Background in adapting or
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tissue biology in general. We are looking for a candidate with extensive hands-on training on a broad spectrum of multiomics bioinformatics data analyses and with existing knowledge in adipose tissue
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Department of Biostatistics (OCBE), Domus Medica, Gaustad UiO campus, Oslo. Job description The project focuses on developing probabilistic latent-variable methods for large and structured biological data
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project with focus on specialization in political data science or comparative politics? Postdoctoral Fellow Apply for this job See advertisement About the position The Department of Political Science
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, identify individuals at risk, and develop strategies for sustained weight loss and long-term weight maintenance. Yvonne Böttcher’ research group ( https://functionalgeneticsofobesity.wordpress.com
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up to 2-3 Doctoral Fellowships. The PhD-positions will be connected with one of the faculty's present research groups ( https://www.tf.uio.no/english/research/groups/ ) or research fields. Applicants
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complex "omics" data Experience in handling and analysis of clinical samples/biopsies Experience with extracellular vesicle/exosome characterization. Familiarity with proteomics or other omics