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computational modeling to identify bacterial strains and metabolites that promote or hinder probiotic establishment. By combining multi-omics data with systems biology and machine learning approaches
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to SAFE. Delivering EVU course from SAFE center. Required selection criteria A PhD degree (or equivalent) in biometrics, information security, computer science, electrical engineering, or machine learning
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Computer science » Computer systems Computer science » Programming Technology » Communication technology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 26 Apr 2026 - 23
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» Autonomic computing Engineering » Maritime engineering Technology » Computer technology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 25 Apr 2026 - 23:59 (Europe
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hazards, enhancing asset protection, maritime security, emergency preparedness, and societal resilience. The project will leverage advanced AI and machine learning techniques to enable predictive risk
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into reliable information about structural and aerodynamic behaviour remains a challenge. The PhD will develop data-driven methods that combine measurements, physics-based models, and machine learning to extract
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numerical models and machine learning tools to predict loads, assess structural responses, and identify damage under extreme conditions. By combining computational simulations with data-driven approaches
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to team-working and personal skills. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/292642/postdoctoral-fellow-in-molecular-cell-biology Where to apply Website https
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. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/293272/phd-research-fellow-in-palaeoecology-and-sedimentary-ancient-dna Where to apply Website https://www.jobbnorge.no
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provides opportunities to collaborate with both national and international collaborators, as well as exploring sustainability aspects of the technology. For more information and how to apply: https