77 web-programmer-developer-"https:"-"UCL"-"P"-"https:"-"https:"-"https:" positions at Leibniz
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. The models can include molecular and tissue scales, signalling and metabolism of each cell or entire tissue, as well as flow and transport. The projects open up excellent opportunities to develop image
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development. It is one of the world's leading research institutions in its field and offers natural and social scientists from around the world an inspiring environment for excellent interdisciplinary research
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Germany. It maintains close cooperative relations with various partners in Germany and abroad. We offer a structured doctoral training program, manifold activities, exciting research topics, a highly
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will work on the forefront of interdisciplinary research, contributing to the development of interventions and co-treatments aimed at supporting mental health and improved treatment outcomes (supervision
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everyone to develop and use their creativity to the best of their abilities. The position is paid according to the German salary scheme for the public sector (TVöD Bund) as an 65 % position at E13
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Mindset’ Cluster of Excellence and in collaboration with the University of Bremen and other research institutes, we are hiring a motivated research associate to contribute to the development of resource
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regulating the folding of amyloid proteins in vitro Setting up and implement new workflows to characterize protein assemblies Developing experimental strategies, analyze, document, and present data
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scientific knowledge. Its nationally accredited Research Data Centre (RDC) supports this mission by providing secure access to complex, sensitive microdata and by developing infrastructure that enables high
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this project is to advance our understanding of H-MBE and its application to metal oxides through sophisticated computational modeling techniques. The project goals are: Develop and Apply Computational Models
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knowledge on influenza viruses to other respiratory viruses, such as SARS-CoV-2 and RSV. In the long term, we will use acquired knowledge on common pathogenicity factors to develop new antiviral strategies