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-derived organoid models. You will work closely with in-house technology platforms, including the Single Cell Genomics Facility, Big Data Core and High Throughput Screening Facility. Our research is embedded
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+ imaging, data analysis and neuronal circuits. Requirement PhD in neuroscience, computer science or a related field High motivation for explorative research Experience in neurophysiology (electrophysiology
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Postdoctoral studies in single-cell and computational biology Do you want to contribute to top quality medical research? A postdoctoral position is available in the laboratory of Professor Francois
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establishments (Université Côte d'Azur, CNRS, INRAE, INSERM ...), but also with the regiona economic players. With a presence in the fields of computational neuroscience and biology, data science and modeling
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outstanding candidates to apply for a postdoctoral research position in Geometric Deep Learning, with a strong emphasis on applications to biology and scientific discovery. This unique research collaboration
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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requirements PhD in molecular biology, biochemistry, or a related field Extensive expertise in protein biochemistry and molecular biology Experience with animal experiments, ideally with FELASA B certification
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an exciting, emerging topic. The position will focus on integration and device fabrication based on combinations of 2D materials and freestanding complex oxides, aiming at discovering, engineering and unlocking
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their arrays; (v) analyzing the data, publishing high-impact results and presenting them at conferences, and (vi) collaborating extensively with other leading research groups at SHARPS, elsewhere in China
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iNANO at Aarhus University is seeking a postdoctoral fellow for the Novo Nordisk Foundation CO2 R...
design and scaling) Qualifications/ About you Qualified individuals should have a PhD in, preferentially anaerobic, microbial sciences, microbial electrochemistry, or related bioengineering disciplines