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Bayesian prediction models with uncertainty quantification for trustworthy personalized treatment decisions in the T-PRESS Evidence Ecosystem Framework”. The primary objective of the T-PRESS consortium is to
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vegetable species relevant for Northern food production. The primary objective is to characterize PFAS uptake patterns in selected vegetable crops and to identify the key factors governing these patterns
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person; • have completed an Honours Degree with First Class or 2A Honours, or equivalent level, or a Masters degree with a significant research component or clearly demonstrate research capability
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performance under various conditions, among them variable irradiance, temperature changes, soiling, short- and long-term load fluctuations, and unexpected events. The main supervisor will be Associate Professor
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to demonstrate the following competencies and qualifications A master's degree in chemistry, chemical engineering, materials science, physics, nanoscience, or a closely related field is required for the PhD
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computing environment, solid knowledge of crystallography, and defects preferred Very good English knowledge Required documents Motivation letter CV Bachelor's and master's degree certificates and transcripts
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Principal supervisor: Charlotte Doidge Other supervisors: Jasmeet Kaler, Jorge Vazquez Diosdado, Alexandra Lang Background: Research at the School of Veterinary Medicine and Science includes
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prepared for changes to your work duties after employment. Required selection criteria You must have a relevant Master's degree in computer science, automation related engineering or equivalent. Your
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of existing techniques - for example, with respect to expressivity, generalization, interpretability, or scalability. This is part of your personality: Completed Master's degree or Diploma, in the field
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. You must have a relevant Master's degree in computer science, electrical engineering, imaging science or equivalent. Your course of study must correspond to a five-year Norwegian course, where 120