75 evolution "https:" "https:" "https:" "https:" "https:" "https:" "University of Cambridge" PhD positions in Austria
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23 Jan 2026 Job Information Organisation/Company University of Graz Department Department of Business Education and Development Research Field Other Researcher Profile First Stage Researcher (R1
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duration of the PhD thesis work. For detailed information on the application process, available research topics, and eligibility requirements, please visit our website: https://biotop.boku.ac.at Deadline
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experiments immediately. Your research will be in close collaboration with intensivists and data experts at Amsterdam UMC, UCL, and University of Cambridge who have years of experience making ICU data usable
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PHD DEVELOPMENT AND EXPERIMENTAL VALIDATION OF UNDERGROUND SAND-BASED THERMAL ENERGY STORAGE SYSTEMS
(Transcript of records) online. Do not overlook the inclusion of Academic Europe in your application. Where to apply Website https://www.academiceurope.com/ads/phd-development-and-experimental-validation
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, with possibility of one extra year extension. ROLE WITHIN THE RESEARCH PROJECT Microscopy of fluorophore tagged transcription factor localization upon different stimuli Development and optimization
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on psychological predictors of ecologically sustainable behavior Evaluation and development of interventions for behavioral change in the area of ecologically sustainable behavior Support for ongoing research
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, UCL, and University of Cambridge who have years of experience making ICU data usable for research. What we are looking for MSc in computer science, statistics, or a related quantitative field
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resolution LiDAR mapping. Details: https://www.science.hr/jobs/218168/researcher-in-trajectory-estimation-… Where to apply Website https://www.science.hr/jobs/218168/researcher-in-trajectory-estimation
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dataset(s) - Development of new survey and collection of original survey data - Development and implementation of experimental studies - Writing and contributing to scientific papers for peer
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, clustering) Comfort with statistics/ML (statistical tests, regression models, regularization) General understanding of cancer biology (tumor evolution, aneuploidy/CNAs, resistance development) What we offer A