21 parallel-processing-bioinformatics-"Multiple" Postdoctoral positions at University of Oslo
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to improve the modelling and governance of biodiversity under uncertainty. The project develops process-explicit, hierarchical models that capture key ecological dynamics, integrate diverse and incomplete data
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philosophy to improve the modelling and governance of biodiversity under uncertainty. The project develops process-explicit, hierarchical models that capture key ecological dynamics, integrate diverse and
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multiome RNA-seq, ATAC-seq and massively parallel reporter assays (MPRAs) for unbiased genome-wide analysis for understanding the phenotypic plasticity in different cancer cell states. Work tasks The work
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until 2033. The candidate will pursue research on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case of dynamic sequential inference and
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of students, and collaborative activities in multiple projects, and play a central role in advancing cutting-edge genomic approaches. The position offers strong opportunities for scientific development in a
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the modeling and governance of biodiversity under uncertainty. The project develops process-explicit, hierarchical models that capture key ecological dynamics, integrate diverse and incomplete data sources, and
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used to treat a range of autoimmune diseases with a minimum of side effects. Your main tasks will be Isolation of antigen-specific B cells and plasma cells from patient samples Generation of recombinant
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for unsupervised learning when multiple data sources are available, mostly tailored to the case of dynamic sequential inference and probabilistic recommender systems. The position is connected to the project
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the EU to develop more active and discretionary capabilities. We will study these processes of change from both inside the EU (with interview research on the EU’s evolving policies regarding tradable goods
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motivation to carry out the project and teach at the department. The hiring process will include an interview. Applicants must have a PhD degree in human geography or equivalent. Only candidates who received