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organization in unprecedented detail. These datasets will be integrated with genetic profiling and mechanistic follow-up studies to uncover how specific cellular states, transcriptional programs, and genetic
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for Industrial Mechanics. This center is an integral part of the Institute of Mechanical and Electrical Engineering, situated in the vibrant city of Sønderborg. Together, they form a hub of technological
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, longer-term epistemic capacities through hands-on, situated experiences. Central to the project is the integration of these technologies into real classroom and laboratory settings, ensuring contextual
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PhD Scholarship in Biodiversity changes of marine flora and fauna associated with ecosystem resto...
estuaries. The research will have focus on the impact of restoration activities in Odense Fjord, Gyldensteen Coastal Lagoon and other Danish coastal waters. The selected candidate will be integrated in
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considered as bonus attributes. Personal competence and skills to engage with and integrate into the host organization are essential for the successful conduct of the research. Examples of research areas
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an efficient AI foundational exploration of the molecular space. How can we bias the generative models towards desirable molecular properties How can we integrate generative AI models and different molecular
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superstructure that lies at the base of cilia and allows selective diffusion and transport of proteins and lipids between cytosol and cilia by an unknown gating mechanism. By employing an integrative approach
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PhD fellowship/scholarship - Intercropping of cover crops and vegetables to mitigate nitrate leac...
farming Research area and project description: This PhD study will focus on the successful integration of cover crops by intercropping in organic vegetable field production. The PhD will investigate
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medicine. We offer a lively, engaged and innovative learning and study environment, which is closely integrated in the research environment. Our department has unique and advanced animal experimental
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process. An integral part of the project will be the development of enhanced data-driven physics methods to achieve reliable prediction of material removal rate and material removal distribution