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• PhD degree in STEM. • Proficiency in at least one mainstream deep learning framework (PyTorch or JAX) • Fundamental knowledge of physics, chemistry, and materials science. Research
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their PhD or completed all qualifications and degree requirements within three years prior to the effective date of their initial assignment. Preferred qualifications Broad expertise in environmental
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, laboratory training, the UTIG postdoctoral mentoring program, and other UTIG, Jackson School, and University career development and training opportunities. Required Qualifications PhD in a relevant field must
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one from your current graduate or clinical residency training program. Graduate-level academic transcripts (unofficial is acceptable) Two writing samples, preferably a copy of a previously published
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either graduate students, probably in the latter stages of their research leading to a PhD Degree, or post-doctoral researchers who have recently been awarded their PhD Degree. Candidates who have
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. The research will involve developing analytical models, performing large-scale numerical simulations of open quantum systems, investigating decoherence and noise processes, and exploring new architectures and
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Qualifications 1. A PhD in Physical Geography, Ecology, Remote Sensing, or a related discipline (preferably within three years of completing the PhD). 2. Knowledge of the key processes governing
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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10 Jul 2026 Job Information Organisation/Company University of Bergen Department Department of Mathematics Research Field Mathematics Researcher Profile First Stage Researcher (R1) Positions PhD
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. The aims of this post are the determination of the caffeine concentrations in human saliva using HPLC techniques, pharmacokinetic modelling and simulation of the obtained saliva-concentration pharmacokinetic