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collaborative and interdisciplinary activities. Job Requirements: Preferably PhD degree in Computer Engineering, Computer Science, Applied Mathematics or equivalent. Strong academic background in machine learning
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design, data collection, and analysis. Both workshop will be held in one of the project case study countries Essential Criteria PhD in Social Sciences (applicants undertaking PhD and nearing completion
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PhD in Mathematics/Computer Science or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written communication skills In-depth knowledge relevant
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Researcher (R1) Positions PhD Positions Application Deadline 11 Oct 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Offer Starting Date 1 Jan 2027
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theories in inverse/scattering problems. Once successful, the candidate is expected to transfer their expertise to machine learning/scientific computing in collaborations with other group members (phd
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) postdoctoral fellowships (10 positions) for highly qualified candidates who have completed or will soon complete their PhD or equivalent in chemistry, data and computer science, earth sciences, life sciences
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• Possess at least a PHD degree in relevant fields such as Civil Engineering, Ocean Engineering, Fluid Mechanics, Computer Science, or related disciplines. Applied Mathematics, Data Science
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literature reviews to support model refinement and tool development Prepare and submit a minimum of one peer-reviewed manuscript to a health informatics or health services research journal Present research
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Skills: Proficiency in Python, TensorFlow, PyTorch, or similar frameworks. MS or higher degree (PhD preferred) degree in Computational Neuroscience, Computer Science, Bioinformatics, or a related field
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to verify the theoretical results. Job Requirements: Applicants should possess a PhD degree or have satisfied all the requirements for a PhD degree in Mathematics. Applicants should have deep knowledge in