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- UiT The Arctic University of Norway
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diverse research and study portfolio and interdisciplinary advantage to shape the future. Our social mission is to provide research-based education of high quality, perform artistic development and carry
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probabilistic machine learning to geoscientific or ecological models is highly desirable. Experience in high performance an advantage. The candidate must have proof of excellence in research as demonstrated
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Status Full-time Hours Per Week 37,5 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
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- Knowledge that shapes society UiB shall be among Europe's leading universities, internationally recognized for high quality in research and education. As a societal institution, we shall contribute
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interdisciplinary advantage to shape the future. Our social mission is to provide research-based education of high quality, perform artistic development and carry out research of the highest international quality
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applicants can document their English capabilities by attaching their high school diploma. Fulfillment of the requirements for admission to the PhD program (next section) Desired skills include: Research
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job funded through the EU Research Framework Programme? Horizon Europe - MSCA Reference Number 101226425 Is the Job related to staff position within a Research Infrastructure? No Offer Description
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immunology is an advantage. Experience in high-performance parallel computing is an advantage. Experience with machine learning and or other mathematical approaches used in (bulk and single-cell) immune
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research profile with excellent documented potential for performing high-quality research. Topics of relevance that speak to ongoing research in the group involve the study of psychological phenomena related
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efficiency. Applying ML-assisted sequence design to enhance gene expression performance. Experimentally validating new hosts and expression systems through functional screening of metagenomic clones encoding