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H2 profiles in collaboration with our modeling department Your Profile: MSc in meteorology, physics, chemistry, environmental sciences or a related field with good final grade (German system equivalent
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addition to technical models allowing to assess technical scaling and an optimal operation. The optimal plant design is identified by considering the energy supply system, the choice of capture technology, the DAC
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for an enthusiastic researcher who is quick to grasp new concepts and ideas and can solve complex problems with high-quality software solutions. You will work with machine learning, HPC, and domain science experts and
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Your Job: You will strengthen the data science and machine learning activities of the IAS-9 with exciting new topics. You will work in a multidisciplinary team of enthusiastic data scientists
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preparation Deriving insights for film and device fabrication based on the above described workflow Your Profile: Masters degree in physics, materials science, physical chemistry, electrical engineering and
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for self-supervised learning in science Engage in national and international ML/DL communities, most importantly the Helmholtz Foundation Model Initiative Present research results at scientific meeting
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and Ornamental Crops, the University of Bayreuth, the Technical University of Munich, and the Czech Academy of Sciences. The TeAM-uP project will investigate the effects of arbuscular mycorrhizal fungi
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international conferences and peer reviewed journals Your Profile: Masters degree in bioengineering, environmental sciences or applied mathematics Knowledge of plant and soil sciences Mathematical modelling
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Your Job: Analysis and integration of diverse biological data from the field of plant sciences (large scale genomic, transcriptomic, proteomic, metabolomic and/or single cell data) using cutting
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Your Job: Join the EU funded SAFELOOP project to develop and advance battery chemistries by introducing new functionalities into an existing battery technology to achieve ultra-high performant