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aim to leverage high-throughput phenotyping to create knowledge about plant function at the physiological level and use forward genetics approaches to unravel the genetic architecture of root traits
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At the Leibniz Institute of Plant Biochemistry in the Department of Bioorganic Chemistry a position is available for a PhD in Machine Learning for Enzyme Design (m/f/d) (Salary group E13 TV-L, part
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aim to leverage high-throughput phenotyping to create knowledge about plant function at the physiological level and use forward genetics approaches to unravel the genetic architecture of root traits
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Association, which is committed to equal opportunities, family friendliness and the compatibility of work and family life. Our research focuses on the coastal and marginal seas, in particular the Baltic Sea
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, and research-based public and educational work. Over the next ten years, the Museum für Naturkunde will realise its plan for the future. New laboratories and jobs for cutting-edge research will be
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its employees in reconciling work and family life and regularly undergoes the audit berufundfamilie® . Further information at: http://www.ifw-dresden.de. The research group "Functional Oxides and
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international backgrounds, BIPS’s research covers the full spectrum from methods development and identification of disease causes to prevention and implementation research. The work is supported by extensive
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trophoblast cells in a small animal model. The project is part of the new Collaborative Research Center (SFB 1713) “Maternal Immune Activation: Causes and Consequences”. We are seeking a highly motivated and
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. The advertised position is part of the DFG research unit C3SAR (Cloud 3d Structure And Radiation), coordinated by the Leibniz Institute for Tropospheric Research in Leipzig with partners at the Universities
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-university research institutes in Germany. PRIF is headquartered in Frankfurt and has a branch office in Berlin. More than 100 employees from research, administration and science communication contribute