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activities through field surveys and data analysis; 4. collection, processing and analysis of samples for environmental DNA (eDNA) aimed at species detection and spatial distribution assessment; 5. performance
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that are relevant to industry demands while working on research projects in SIT. The researcher will be part of the team of the CFI Project (https://www.pub.gov.sg/-/media/PUB/Resources/Press-Releases/2024/06/Annex
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to industry. Potential candidates should have an interest in model-based design and analysis techniques. They will apply and develop formal methods and knowledge representation techniques for industrial systems
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rotation, and leading the asteroseismic analysis of these stars, which encompasses data analysis, stellar modelling, and inversion techniques. For more information and how to apply: https://www.jobbnorge.no
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 3 days ago
, autophagy, and related human diseases. In this role the PDF will: Conduct independent and collaborative research Data analysis, interpretation, and dissemination Manuscript and grant preparation Laboratory
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programme Reference Number AE2026-0039 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0039
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. The key objective is to support efforts to advance fundamental and high-impact research. For more details, please view http://www.ntu.edu.sg/spms . Join the laboratory of Shilei Ding at SPMS. We are seeking
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here: https://www.healthdata.org/research-analysis/gbd . Purpose of the post We seek a highly motivated researcher with strong quantitative skills, passion for global health and a desire to shape health
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analysis, aimed at understanding how the human brain encodes information. This cross-disciplinary project is a high-level collaboration between the Digital Signal Processing Group (DSB), at the Section
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and risk analysis. Accordingly, candidates are expected to have a strong background in statistics and computational methods. The position will be devoted to solve research questions related to the Work