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Field
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security, privacy concerns and more. Working environment The Health Data Lab (HDL) is a research group at the Department of Computer Science at UiT - The Arctic University of Norway. HDL’s mission is to
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Training PhD (awarded or near completion) or equivalent experience in computational or mass spectrometry-based metabolomics, bioinformatics, or a related discipline. Demonstrated commitment to ongoing
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to assignment start date. ***Please upload all 7 items in One (1) PDF under the “resume” option within the applicant tracking system . Basic Qualifications -For current PhD students: All Ph.D. requirements
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requirements for admittance to the Faculty of Social Sciences’ PhD program. The Master’s degree must be of high quality (grade A or B) and within a specialization of relevance to the economics of innovation and
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/Administrative Internal Number: 526648 Pay Grade/Pay Range: Minimum: $48,600 - Midpoint: $60,800 (Salaried E7) Department/Organization: 750502 - Global Water Security Center Normal Work Schedule: Monday - Friday
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university department for general education and research in Computer Science and related topics. The Department has more than 1800 students on bachelor level, 600 master students, and over 240 PhDs and
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routine maintenance and troubleshooting of laboratory instruments to maintain optimal performance. Supervision and Researcher Development: Provide training and technical support to students and research
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university department for general education and research in Computer Science and related topics. The Department has more than 1800 students on bachelor level, 600 master students, and over 240 PhDs and
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research projects. Develop and implement AI models for evidence synthesis. Assist grant writing to secure research funding. Mentor students and collaborate with international experts. Job Requirements: A PhD
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through a PhD education leading to a doctoral degree. Starting date for the positions is no later than 01 Januray 2026. The hired candidates will be admitted to the PhD program in Science and Technology