3,618 data-"https:" "https:" "https:" "https:" "Dr" "University of Aberdeen" PhD positions
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approximately 25 doctoral scholarships and some postdoc positions. More information can be found here: https://www.ntnu.edu/mai The appointment is carried out in accordance with the principles of the State
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23 Jan 2026 Job Information Organisation/Company DIFFER Research Field Chemistry » Computational chemistry Chemistry » Physical chemistry Engineering » Chemical engineering Researcher Profile First
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or technologies to analyse movement. Experience and competence in analytical / programming software to code and analysis data. How to apply Interested applicants should contact Dr Phil Graham Smith (p.graham-smith
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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/laura-cantini-un-projet-erc-start… https://research.pasteur.fr/en/project/multi-viewcell/ Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating exciting
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(Position P): Agricultural AI data integration and management based on LLM In the context of the MSCA JD project GreenFieldData https://www.eu4greenfielddata.eu/ GreenFieldData: IoRT Data Management and
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). For more information please contact Prof. dr. Lore Mergaerts, mail: lore.mergaerts@kuleuven.be or Prof. dr. Dirk Van Daele, mail: dirk.vandaele@kuleuven.be .In case of problems with the online application
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performance degradations and unwarranted system failures can occur. There is certain physical information known a priori in such aerospace platform operations. The main research hypothesis to be tested in
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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | 2 days ago
-heidelberg.de/en/your-application Additional comments Please visit our website for more information on the Collaborative Research Center (https://www.sfb1324.de ). Questions about the project can be directed
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to study and predict. In this four-year SNF-funded project, you will develop data-driven, multiscale simulation methods that combine computer simulations, machine learning, and surrogate models to explore