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and North, ensuring real-world testing across diverse agricultural contexts. Beyond the research itself, IBIS aims to implement standardized experimental protocols, harmonized data formats, and
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hearing and vision (‘dual-sensory’) loss. Because these losses are typically handled separately, the ‘true’ handicap caused by them is underestimated. Furthermore, because routine diagnostic tests focus
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are typically handled separately, the ‘true’ handicap caused by them is underestimated. Furthermore, because routine diagnostic tests focus on sensory instead of perceptual processes, communication-related
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level. You will collaborate with fellow PhD students and postdocs from various disciplines and can engage with both academic and industrial partners in Denmark and abroad. You are expected to participate
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A postdoc position in the Torben Heick Jensen lab, Aarhus University, Denmark: Mammalian Nuclear ...
to molecular biology and bioinformatics approaches. Collaboration with structural biologists is possible. Your profile Applicants should hold a PhD in Molecular Biology, Biochemistry, Cell Biology, Genomics
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local electromagnetic stimulation. The Novo Nordisk Foundation generously supports the project. Responsibilities and qualifications To take project ownership and design, fabricate, test and innovate
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welcomes applications from all qualified candidates regardless of personal background. Formal requirements Applicants should have or be about to receive a PhD degree in a subject relevant for the research
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biobased processes to promote a green transition and support the UN Sustainable Development goals. Responsibilities and qualifications You will work with a team of scientists including PhD and MSc students
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the successful candidate. We are looking for a candidate who has: A PhD in law or a related field. Prior knowledge of and an interest in human rights law, climate change and environmental law. Ambition to develop
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accurate, robust software tools to be used in process simulators for standard and novel carbon capture processes. We aim to improve the robustness and efficiency of CO2 capture simulation for classical