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industry and international partners. For more details, please view https://www.ntu.edu.sg/atmri . We are looking for a Research Fellow to conduct research on air traffic management (ATM) algorithms and data
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for Photon Science we are looking for a Postdoctoral Fellow in serial crystallography data analytics Your tasks The development of serial crystallography data analysis pipelines at SwissFEL and the SLS 2.0
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implement novel computational tools and expand your analytical portfolio. Candidates should hold a PhD (or be near completion), an MSc in Bioinformatics, or have equivalent professional experience in
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here . A prerequisite for employment is that the candidate is to be admitted to UiA’s PhD programme at the Faculty of Humanities and education. More information is to be found here (in Norwegian): https
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13 Jan 2026 Job Information Organisation/Company Stockholm University Department Department of geological sciences Research Field Geosciences » Geology Chemistry » Biochemistry Biological sciences
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 7 hours ago
Position Details Position Information Position Title Postdoctoral Fellow in Frailty, Aging, and Cardiovascular Health Posting Number PTAP2801P Department/Unit Physiotherapy Location Halifax, Nova
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programme at the Faculty of Humanities and education. More information is to be found here (in Norwegian): https://www.uia.no/studier/program/phd-program-i-humaniora-og-pedagogikk/ Required qualifications
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. Proficiency in data analysis software (e.g., R, MATLAB, SPSS, Primer, Python). Experience with analytical techniques such as ANOVA, PCA, Regression, and Multidimensional Scaling (MDS). Experience in ecosystem
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- 10 Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company/InstituteUniversity
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programming and analytical skills (including R, Python, and SAS or Stata) · Experience with Medicare claims data · Demonstrated expertise in causal inference and high-dimensional risk adjustment/predictive