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New York (USA). Publication: Candidates are encouraged to publish in top-tier venues across machine learning (e.g., NeurIPS, ICML), statistics, and computational biology. Dual Affiliation: The position
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techniques, modelling, data science, and experiments, and aims to unravel the processes that shape the evolution of the Earth’s crust, and their effects on the environment. The section consists of 40 people
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Doctoral Programme, see Section 6-1 of the PhD regulations for more information. You must have a master's degree or equivalent in computer science, artificial intelligence, machine learning, computer vision
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. Proficiency in standard molecular and cell biology techniques, including RT-qPCR, ELISA, immunocytochemistry, and Western blotting. Experience with sample preparation, imaging, and image analysis using confocal
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encouraged to publish in top-tier venues across machine learning (e.g., NeurIPS, ICML), statistics, and computational biology. Dual Affiliation: The position will be based at and affiliated with the University
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. PhD Candidate in advanced immune competent liver models Apply for this job See advertisement About the position The Hybrid Technology Hub CoE (https://www.med.uio.no/hth/english/ ) is inviting
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
application process here. About the position The Department of Department of Mechanical and Industrial Engineering is offering an exciting PhD position within the Norwegian Maritime AI Centre , a national
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14 Aug 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Energy and Process Engineering Research Field Engineering » Thermal
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-leader-in-computational-biology Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/304359/group-leader-in-computati… Requirements Research FieldBiological sciencesEducation LevelPhD
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mechanisms governing regulatory pathways in models of human biology and disease, including neurological, cancer-related, and immune processes. We particularly welcome research programmes that develop and apply