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Field
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courses during studies (free of charge) List of doctoral programmes and other offers Programme Faculty of Biology and Psychology Biology Thematic programmes Behaviour and Cognition Biodiversity and Ecology
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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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, 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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bring together different disciplines and perspectives to foster the sustainable management of mountain forests in the Alps. The current position will be part of the Center for Forest Management in the Alps, and
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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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well as share research knowledge via teaching. Qualifications The candidate will hold a Master’s in Chemical, Process, Environmental Engineering, or equivalent, and is a naturally curious person who is eager
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Engineering, or equivalent, and is a naturally curious person who is eager to learn more and has a strong interest in research. Experience with membrane filtration and electrochemical systems (of any scale) is
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or academia. Qualifications The candidate will hold a Masters in Chemical, Process, Environmental Engineering, or equivalent, and is a naturally curious person who is eager to learn more and has a strong
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the field of natural or (industrial) engineering, informatics, or a related field of study Very good knowledge of energy technology, energy economics and energy politics Initial experience in energy system
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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