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metabolomics gained during their PhD, covering the entire analytical workflow, from sample preparation to data analysis. A good understanding of plant metabolism is also desirable. Skills ➢ Qualifications
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At the University of Vienna, over 10,000 people work together on the big questions of the future. Approximately 7,500 of them are academic staff members. These are individuals who, with
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. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted their thesis and
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society at large. Applied Geochemistry at LTU focuses on the occurrence and mobility of elements and the geochemical processes that occur in rock, soil and water at the Earth’s surface. Research is carried
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(45%) • Support statistical analyses of large data sets from an epidemiological cohort, investigating associations with birth outcomes using both targeted and nontargeted data (25%) • Support
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collection, and statistical analysis. Proficiency in statistical software (e.g., R, SAS, STATA) and data management techniques. Demonstrated experience in analyzing large epidemiological datasets. Excellent
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to define and evaluate AI biomarker models. You should hold a relevant technical PhD/DPhil (or near completion) in medical video analysis or computer vision with a video focus and ideally have prior
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. Work on other ATLAS physics topics may also be considered depending on the candidate’s expertise. A PhD in particle physics and substantial experience in data analysis are required. Additional valuable
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FieldMathematicsYears of Research Experience1 - 4 Additional Information Eligibility criteria • PhD in condensed matter physics, materials science, or a related field; • Strong knowledge of thin-film growth techniques
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
research, industry, or translational biomedical AI. Minimum Education and Experience Requirements A PhD or equivalent doctoral degree in Computer Science, Biomedical Engineering, Electrical or Computer