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consists of a motivated and interdisciplinary team acting in a strong national and international network. This position in the field of bioanalytical chemistry is dedicated to the development and application
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postdoc fellow at the AMBER programme you will get unprecedented biological, and methodological capabilities, with a profound potential impact for Europe’s next generation of research and researchers. When
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of epistemic values in scientific practice, or the expression of values in collective behaviors (e.g., in online social networks). The proposed research is expected to yield both theoretical and empirical
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Postdoctoral researcher in Environmental Analytical Chemistry, with a focus on non-target screeni...
/ ). The candidate is expected to support Prof. Katrin Vorkamp’s research in this centre, with possibilities for networking and exchange on PFAS. However, the candidate is also expected to contribute to Prof. Katrin
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education. We offer modern laboratories, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international research network
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oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover
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communication network infrastructure. This role will lead efforts in the study of the methods for optimizing performance of future cellular communication networks. The research will identify the technical
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Sign In Create Profile Postdoctoral Research Associate I - V (Center for Biomedical Informatics and Biostatistics (CB2)) Tucson, AZ, United States | req22753 Apply Now Share Save Job Posted: 5/7
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regulation, cancer, and/or network biology is considered a plus Strong analytical and problem-solving skills with the ability to develop and maintain computational tools for biological data analysis Teamwork
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project. Your profile We are looking for a highly motivated candidate with a background in machine/deep learning, and communication networks. The required qualifications include: PhD in computer engineering