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are seeking a PhD candidate to join our young team (Computational Systems Medicine) within the context of the BMFTR-funded DIASyM (https://diasym.mscoresys.de/ ) project, to develop new statistical and
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that specifically and reversibly bind to the biomolecules of interest. In this PhD project, you will explore a novel direction: you will develop and test binder molecules for continuous sensing using de novo protein
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at the Faculty of Health and Medical Sciences is available at the Graduate School’s website: https://healthsciences.ku.dk/phd/guidelines/ Application procedure Your application must be submitted electronically by
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LevelMaster Degree or equivalent LanguagesENGLISHLevelExcellent Additional Information Website for additional job details https://constructoruniversity.wd103.myworkdayjobs.com/en-US/Careers/details/PhD… Work
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 10 hours ago
), Georg Winter (Scientific Director for Life Sciences), and Anita Ender (Managing Director) and is located at the Marxbox on the Campus of the Vienna Biocenter. https://aithyra.at/ Vienna is repeatedly
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candidates must enrol in the PhD programme in (Applied) Economics at the Faculty of Economics and Business Administration at KU Leuven (see https://feb.kuleuven.be/research/phd/phd ). -Our internationally
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interactions with CSE activities. Please find guidelines and further information on the website of the PhD School: https://www.cbs.dk/en/research/phd-programmes/admission . Recruitment procedure The Recruitment
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forestry, with emphasis on forest management, carbon storage, and forest production under climate change. The PhD position lasts four years and starts in the late fall of 2026 or early in 2027. Twenty-five
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15th October 2026 Languages English English English The Department of Information Security and Communication Technology has a vacancy for a PhD Candidate in Cyber Risk Management in Maritime
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monitoring of biomolecules. In this PhD project, you will explore a novel direction: you will study how nanoswitch sensors can be designed for the continuous monitoring of complex nucleic-acids with dynamic