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of computer science or using computer vision methods Excellent knowledge of the development and implementation of methods in the field of digitization, artificial intelligence, machine learning and/or 2D/3D imaging and
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, responsible and independent work Friendly and co-operative working atmosphere in a small team Thorough familiarization with new working methods and equipment State-of-the-art working conditions in a future
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are part of the role. We expect: a strong collaborative spirit and enjoyment working closely within a diverse research team intellectual curiosity, creativity, and an openness to exploring new methods and
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. The research will adopt a qualitative, community-based research approach. Depending on the specific context, the following methods will be applied: In-depth semi-structured interviews with rural community
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position is to investigate the influence of these polysaccharides on ice formation in clouds in detail and make it quantifiable. To this end, existing chromatographic analysis methods are to be further
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extension, in the programme area "Next-Generation Horticultural Systems" (HORTSYS), in the research group "Open Field Horticultural Systems" within the EU-HORIZON project NitroScope - "Scoping European N
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MODELLING METHODS TO PRODUCE CLIMATE SERVICES FOR RESILIENT EUROPEAN SEAS AND COASTS IN A DECADAL TO MULTI-DECADAL HORIZON), an EU funded project with 9 partners from 7 European countries under the call
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program Excellent technical equipment, a wide range of experimental methods and a dynamic and interactive research environment Remuneration according to TV-L, level 13 (65 %), plus annual special payment
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developments, as well as conceptual guidance of cross-project software developments in the field of biodiversity informatics Strategic and content-related representation of the MfN in national and international
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biology, biochemistry, nutritional sciences or another biological/medical field Expertise in chronobiology and circadian rhythms analysis Experience in general molecular and cell biology methods Experience