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new standards in computational metabolomics – facilitating biomarker discovery, advancing personalized health monitoring, and improving clinical decision-making. The work will be carried out under close
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for selecting the topic and its place in current research major problems and issues the theoretical approach and methodical considerations regarding implementation a work plan/schedule bibliography Language
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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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(STEM) and TEM in order to advance our understanding of vitrified biological specimens. Develop novel methods for the application of cryo-(S)TEM methods to biological specimens including the operation of
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
biochemistry and molecular biology equipment. Additionally, there is a wide range of world-class facilities available for a plethora of analysis methods. The MPI offers programs for balancing work and family
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sites will not be located directly at the source of emissions, which will require transport infrastructure. As part of this work, you will model spatially resolved transformation paths for the energy
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and the willingness to work in a team are expected. Our offer Work in a dynamic, international and interdisciplinary environment Close cooperation with computer scientists of the Research Group Data
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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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how such systems operate in practice, exploring their social and policy impact, or developing technical or regulatory mechanisms that support transparency, oversight, and accountability. The position
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Europe. In the Monitoring & AI department, you will be involved in the development and implementation of AI and machine learning (ML) tools for monitoring and operation of CO2 storage sites. Key