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Bajcsy, PhD Information Technology Laboratory (ITL) National Institute of Standards and Technologies (NIST) Phone: 301-975-2958 Email: peter.bajcsy@nist.gov URL: https://www.nist.gov/people/peter-bajcsy
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Application deadline: 31/03/2026 Research theme: Nuclear Materials Hoe to apply: https://uom.link/pgr-apply-2425 UK only This 4-year PhD project is fully funded by the Nuclear Decommissioning
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Bioengineering (CMCB), the Chair of Bioprospecting (Prof. Dr. Yael Politi, https://tu-dresden.de/cmcb/bcube/forschungsgruppen/politi?set_language=en ) offers a position as Research Associate / PhD student
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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fluorescence methods, e.g., spectroscopy and microscopy Computational simulation of the molecular interactions within the liposomal membrane in cooperation with expert teams Summarizing your results in
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» Medicine Medical sciences » Health sciences Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 4 May 2026 - 23:17 (Europe/Zagreb) Country Croatia Type of Contract
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microscopy techniques, and high-performance computing resources at UVA. We offer a collegial environment, support for career advancement, opportunities to lead teams and collaborations with internationally
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high-resolution microscopy • Mammalian cell culture and genetic manipulation • Molecular and biochemical assays • Quantitative analysis of intracellular trafficking dynamics The project will be carried
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11(9): 210131. APPLY HERE: https://www.img.cas.cz/phd Where to apply Website https://www.img.cas.cz/phd Requirements Additional Information Work Location(s) Number of offers available1Company
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Department of Plant Biology Biology Description of the doctoral project We are looking for highly motivated PhD student to join our project on genome integrity during seed maturation and germination