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. We guarantee access to top-notch instrumentation and well-equipped laboratories. Responsibilities 1. Sample preparation 2. Measurements (DLS, FCS, Quantitative Imaging) 3. Data analysis 4. Reporting
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to unlock the mysteries connecting TGFs, FGFs, glows, and lightning discharges through modeling and analysis of data from the groundbreaking ALOFT flight campaign. Our group's recent publications revealed
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chemistry Additional Information Benefits The PhD will be conducted within an international collaborative network involving three universities, providing access to complementary expertise and advanced
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scientific journals, and in preparation of presentations at scientific conferences • ability to independently plan and organize experimental work and perform data analysis and prepare scientific reports
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. ViCOROB is a research institute at the University of Girona focused on computer vision and robotics. It combines fundamental and applied research in areas such as underwater robotics, medical image analysis
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analysis pipelines and contribute to their development to enable reliable insights using heterogeneous data sources. You will work with sequencing data and corresponding metadata as well as with data from
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 8 days ago
have experience with the handling of animal data, long-standing experience in user-centered computing, and scientific publishing. Thus, a PhD degree in computer science or a related field is required
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of Health & Medical Sciences at the University of Copenhagen, commencing as soon as possible. Information on the department can be found at: https://bmi.ku.dk/english/about_department/ Information
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7 Apr 2026 Job Information Organisation/Company Université de Caen Normandie Department Health faculty Research Field Technology Neurosciences Medical sciences Researcher Profile First Stage
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. Collaboration with and supervision of bioinformatics Master’s and PhD students will support the integration of circuit and behavioral data with transcriptomic and proteomic datasets generated within the project