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also highly appreciate Previous experience with single-cell transcriptomics, genomics, epigenomics or epitranscriptomics Previous experience in building, analysing and interpreting molecular networks
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to transform acoustic sensing devices into versatile sensors capable of characterizing the dynamic state of buildings and their inhabitants. By combining multi-microphone acquisition techniques with state
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Leipzig, Sachsen | Germany | about 2 months ago
to enable precision therapies. Together with renowned scientists and supported by state-of-the-art infrastructure, you will have the opportunity to make important contributions towards scientific knowledge
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The successful candidate will join the Climate Physics team at ENS de Lyon (https://climatephysics-ensl.fr/ ), which currently consists of 5 permanent researchers, 7 PhD students and 2 postdoctoral researchers. We
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on the synthesis and design of polymer materials with tunable properties and recyclability exploiting the functionality of biobased building blocks. You will operate from the Brightlands-Chemelot Campus in Geleen
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doctoral programme in Technology within three months of starting in the position. (https://www.usn.no/english/research/postgraduate-studies-phd/our-phd-programmes/technology/). The doctoral programme
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addressed before the transition from fossil fuels to hydrogen can take place. This PhD position is affiliated with the FME HYDROGENi center, funded by the Research Council of Norway, which aims to build a
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) systems. Building on the Norwegian Cyber Range's existing capabilities, the project will explore new methods for representing system dependencies, designing realistic cyber scenarios, and evaluating cyber
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evolving constrained contact conditions at cryogenic temperatures affect thermal and mechanical properties and uses that knowledge to build smarter, quieter, and more energy-efficient cooling systems
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biomedical datasets, including omics, pharmacogenomics, medication, drug database, ontology, knowledge graph, and clinical molecular data • Building computational pipelines for drug discovery, drug response