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. DESIRED QUALIFICATIONS Preferred qualifications include a Master’s or PhD in one of the above fields. Experience operating plasma source mass-spectrometers and preparing samples in a clean lab. Strong
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absorption spectroscopy (XAS) and X-ray emission spectroscopy (XES) in the medium to hard X-ray energy range (2.4–40 keV). Operational since 2019, Balder serves a diverse user community across material science
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of economic phenomena, probabilistic reasoning in artificial intelligence, study of the behavior of online social media users; Experience in data analysis, statistical and econometric modeling, using IBM SPSS
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reasoning in artificial intelligence, study of the behavior of online social media users; Experience in data analysis, statistical and econometric modeling, using IBM SPSS, R, USINet and eViews; Solid
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criteria see https://www.nmbu.no/en/research/regulations-and-guidelines-doctoral-degrees-nmbu To be employed, you cannot have previously held a PhD position at NIBIO or with funding from The Research Council
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synchrotron and MX techniques. Essential Qualifications PhD or equivalent in structural biology, biophysics, chemistry, or a related field and 4-5 years post-PhD experience. Interest and ability to work in a
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Applicants must hold a PhD in Analytical Chemistry, Environmental Chemistry, Pharmaceutical Sciences or a related field. Applicants with extensive experience in LC‑HRMS‑based early‑warning monitoring
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to the Ph.D. degree. Read about admission to the Faculty's PhD program here: https://www.sv.uio.no/english/research/phd/application/phd-fellowship/index.html Advanced statistical and quantitative skills
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, United States of America [map ] Subject Area: Physics / Condensed Matter Experiment Appl Deadline: 2026/03/28 03:59 AM UnitedKingdomTime (posted 2026/03/18 04:00 AM UnitedKingdomTime) Position Description: Apply Position
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& Evaluation Skills Experience in research methods, including data collection, analysis, and interpretation. Ability to evaluate usability, accessibility, and feasibility of digital tools. Familiarity with user