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Course language English and German Current information Application deadlines: 15 March and 15 September Financial support No Structured research and supervision Yes Research training / discussion Yes
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, Physics, Biotechnology, Microsystems Technology or a related field is required. Experience in one or more of the following areas: microfluidics, microscopy, fermentation, phototropic organisms, cell culture
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Management (SLUSE) IPB: Natural Resources and Environmental Sciences (NRES) UPM: Environmental Biotechnology/Environmental Engineering/Environmental System and Modeling UGM: Planning and Management of Coastal
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engineering, process engineering, chemistry or a comparable discipline Knowledge of hydrogen and energy research is an advantage High motivation to complete the doctorate within three years Very good
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energy system model workflows Your Profile: Master’s degree in computer science, data science, natural sciences, economics, engineering, mathematics or a related field of study Huge interest in data
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training that prepares young scientists for a successful career in infectious disease research. The LIV technology platforms offer state-of-the-art infrastructure for flow cytometry, microscopy and image
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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are of particular interest. The time- and cost-intensive formation step after assembly and during the first charge is essentially based on a polymerisation reaction of electrolyte constituents and lasts from several
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by interaction with its application and, in turn, is key to progress in technology and science. In Göttingen's mathematical history, this is exemplified by Carl Friedrich Gauss, who was inspired by his
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Helmholtz Centre for Environmental Research - UFZ • | Leipzig, Sachsen | Germany | about 23 hours ago
financially covered by UFZ in agreement with the advisory team. Academic admission requirements Exceptional Master's degree in a discipline relevant to environmental research (natural, social, or engineering