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Badenhop Exercise Science Scholarship The Badenhop Exercise Science Scholarship was established to support students pursuing a degree in Exercise Science with a career path in clinical exercise
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astronomy community. NRC-Herzberg has a rare combination of staff involved in astronomy research, instrumentation design and development, engineering, data science and observatory support. This fellowship is
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Bailey Family Foundation Endowed Scholarship in Arts & Sciences The Bailey Family Foundation Scholarship in Arts & Sciences provides support for high achieving students, with financial need
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
14 Aug 2026 Job Information Organisation/Company Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt Research Field Medical sciences Researcher Profile First Stage
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, computer science or a related discipline. Experience with Python or another scientific programming language would be highly desirable. Prior experience with GNSS-IR or data assimilation is not essential, provided
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28th September 2026 Languages English English English The Department of Marine Technology has a vacancy for a PhD Candidate in information fusion and data assimilation for ocean space utilization
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5 Sep 2026 Job Information Organisation/Company Université libre de Bruxelles (ULB) Research Field Communication sciences » Media studies Psychological sciences » Behavioural sciences Psychological
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to tackle this major clinical challenge. Using advanced data science and 'glucometrics', the standardised analysis of inpatient glucose data, the student will quantify adverse glycaemia, evaluate its impact
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18th September 2026 Languages English English English PhD Candidate in Hydraulic and Geotechnical Engineering of Embankment Dams Apply for this job See advertisement This is NTNU NTNU is a broad
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Health Data Sciences and Informatics (OHDSI, https://ohdsi-europe.org ) initiative, dedicated to bring out the full value of observational health data through the OMOP Common Data Model and large-scale