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Postdoc in Decoding Biological Nitrification Inhibition (BNI) in Cereals: Integrating Metabolomic...
computing capacities as well as an extensive national and international researcher network. The department consists of nine research sections with around 350 highly skilled employees, of which approximately
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research, contracted policy advice, and education. We offer professional laboratories, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive
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computing capacities as well as an extensive national and international researcher network. The department consists of nine research sections with around 350 highly skilled employees, of which approximately
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. Bouveyron, P. Latouche and R. Zreik, The Stochastic Topic Block Model for the Clustering of Networks with Textual Edges, Statistics and Computing, vol. 28(1), pp. 11-31, 2017 - C. Bouveyron, M. Corneli, P
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Faculty position in Molecular Health (Tenure-Track Assistant Professor / Associate Professor) at ...
of: Immunology Microbiology and infectious diseases Metabolism Ageing Disease mechanisms The Candidate A tenure-track Assistant Professor is expected to develop an independent and competitive research program
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advancing research in childhood cancer survivorship as a Faculty Member at the FULL, ASSOCIATE, or ASSISTANT level. We are looking for a scholar to apply state-of-the-art computational methods to extract
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opportunity to learn the process and challenges of drug discovery from the inside, including additional training and mentoring program. In addition, benefit from the rich packages for employee benefit. Our most
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We are seeking a Clinical Research Associate I or II to join our team within the Center for Experimental Neurotherapeutics (CENT), a newly established clinical research program at St. Jude
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experience in using interdisciplinary approaches in their research program. Excellent written and oral communication skills. To see the complete job description click here . To see more about team/Group Leader
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participants Apply advanced analytical methods for integrative multi-omics analyses Implement state-of-the-art statistical and computational techniques for disease prediction Leverage extensive, high-quality