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Field
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degree in the fields of geosciences, resource management, energy technology, mechanical engineering, industrial engineering, physics, or comparable Basic knowledge in hydrology, resource management, energy
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tests Previous knowledge in the fields of combustion technology and CO2 capture advantageous The will to continuously expand your professional and personal experience and the willingness to present your
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 29 days ago
, Applied Mathematics, Physics, Biophysics or a similar qualification Interest in and/or experience with AI/machine learning A willingness to learn and extend this knowledge and master new challenges in
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the fabrication and characterisation of molecular nanostructures on single crystalline surfaces under ultra-high vacuum (UHV) conditions. Knowledge of X-ray absorption spectroscopy at synchrotron radiation sources
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insights clearly and succinctly Publish research results in reputable scientific journals to share knowledge and contribute to the advancement of the field Your Profile: Possession of a master`s degree in
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biogeochemistry, environmental sciences or a related field is required. Good methodological (theory) knowledge of analytical approaches for measurements of climate-relevant trace gases is required. Knowledge
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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. Our most
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The Cognitive Ethology Lab at the German Primate Center (DPZ) is searching for a motivated research assistant to conduct behavioral observations of wild Guinea baboons in the Niokolo-Koba National
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theoretical and experimental knowledge, methodological and general research skills, and the opportunity to develop your personal strengths. As a member of the structured training program you will benefit from
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analysis of large data sets, statistical modeling, and knowledge of at least one programming language (e. g.: R, Python and/or Julia) are required. Experience in machine learning and image recognition