211 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Washington University in St" positions at Technical University of Denmark in Denmark
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mutual agreement, preferably as soon as possible and ends December 31st 2027. You can read more about career paths at DTU here . Further information Further information may be obtained from Associate Prof
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starting date on 1 August 2026 or according to mutual agreement. You can read more about career paths at DTU here . Further information Further information may be obtained from Researcher Nefeli E. Novak
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light-responsive hydrogels for controlled drug release Integrate sensing, delivery, and wireless control into a closed-loop system Perform in vitro and ex vivo experimental validation Analyze data and
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Job Description Are you passionate about scientific machine learning, particularly physics-informed machine learning? If so, this position might be perfect for you. We are seeking a data scientist
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sensing and autonomous systems into geospatial analysis? Do you thrive in interdisciplinary environments and enjoy combining data-driven research with hands-on fieldwork — whether on boats, underwater
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, organoid-based models and in vivo cancer and infection models Integration and analysis of transcriptomics and proteomics datasets Establishment and maintenance of standardised experimental pipelines Data
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of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment
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analysis to extract information on atomic dynamics from image series. Investigate molecular adsorption, surface reconstruction and site-dependent reactivity at the single-atom level Understanding of atomic
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training pipelines using modern ML frameworks Generating data on miBd–pMHC interactions to guide iterative model optimization, espeicially for specificity Benchmarking AI-designed recognition modules against
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highly skilled and innovative Automation Specialist to meet the growing demands for advanced data handling and process automation, essential for data-driven discoveries and adherence to stringent research