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project description: The project is associated with the Centre for Nature based Solutions at the Department of Ecoscience and provides an opportunity to contribute to the development of environmental DNA
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understanding of molecular thermodynamics, and realize the importance of different types of properties in selecting and developing the most physically sound thermodynamic model for water and electrolytes
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preserve, access and develop knowledge over time with the support of automated reasoning. Different KRLs and tools were developed that make it possible to build semantic representations that can simplify
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Developing innovative technology solutions and bringing them to application - that is our goal at the Fraunhofer Institute for Photonic Microsystems IPMS . With our expertise in the development
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Candidates (DCs). We aim to create a network of early-stage researchers equipped with knowledge and skills - including entrepreneurship – to develop and support implementation strategies that address
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). The AI DTC is an initiative by the University of Nottingham to develop future researchers and leaders who can address key challenges of the 21st century through foundational and applied AI research
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experience in basic data management and analysis, population health principles, and literature reviews. The role offers opportunities to develop skills in data curation, study design, project management, and
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funded by the Novo Nordisk Foundation and led by Assoc. Prof. Janus Juul Eriksen @ DTU Chemistry – revolves around the development of new decompositions of molecular properties into local contributions
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, or click here to open video) About the position As a PhD Candidate, you will complete a doctoral education and obtain the doctoral degree. The position involves the development of advanced electronic
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particular, the candidate will work on the development of novel deep-learning reconstruction algorithms to retrieve 3D and 4D (3D+time) imaging acquired by advanced X-ray imaging techniques. Such developments