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Field
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data analytics. Develop and refine methodologies and testing protocols for lab. Perform materials characterization for thin films. Conduct computer simulations with softwares such as ANSYS/COMSOL. Work
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out the project. The hiring process will include an interview. Applicants must have prior education that corresponds to 5 years at the university level in Norway, with two years (120 ECTS
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Applicants will be assessed on the quality and relevance of the project proposal, their academic grades and applicants’ academic and personal prerequisites to carry out the project. The hiring process will
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productivity & Ability to work under pressure and to meet deadlines Desirable criteria Experience of processing and analysis of human genomic, transcriptomic (including single-cell) and phenotype data, including
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longitudinal aging study, the Betula Project, as well as the UK Biobank. The candidate will handle, process, and statistically analyze large amounts of data on blood markers, cognitive tests, and health and
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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using molecular simulation and machine learning methods. This position offers the opportunity to work at the intersection of computational methods and advanced material discovery in a highly collaborative
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fellowship term. Areas of research include quantum information processing in a broad sense (quantum computing and quantum simulation), preferably with spins but also other qubit platforms are of interest
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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position focuses on advancing the integration of gene regulatory network (GRN) simulations into multicellular and tissue-level systems using machine learning—particularly graph neural networks (GNNs) and