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Field
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reputation for carefully designed and precisely controlled experiments, high quality temporally and spatially resolved field experiments using particle image velocimetry combined with synchronised measurements
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control subjects based on diffusion MRI images and functional MRI responses. Duties include: Developing machine-learning and/or deep learning pipelines for classifying patients of optic neuropathies and
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Job Description Imagine a world where food production harmonises with natural processes, farmers nurture healthy soils, and biodiversity thrives. In contrast, current monoculture farming systems
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on Friday 15 August 2025 Reference: IM-1930 Position: Doctoral Candidate #5 (DC 5) Project: Safe and legal operation of robots in agricultural environments Host Institution: Harper Adams University
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The DFG-funded Research Training Group (GRK 2717) „Dynamics of Controlled Atomic and Molecular Systems (DynCAM)“ at the University of Freiburg in collaboration with the University of British
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decrease subsequent food intake. However, in how far these effects are due to slower gastric emptying or other gastric processes, increased production of gut-hormones or both remains unknown. In
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collections interact with power, knowledge, and ongoing processes of heritagization. The candidate is encouraged to develop new methodologies that center community-led, ethical, and innovative approaches
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-performance chain; therefore, enabling stability and control of novel manufacturing processes as well as achieving desired properties within materials science and engineering. Use-cases will be defined within
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– the Norwegian Control and Payment of Health Reimbursements Database (KUHR) and the Norwegian Patient Registry (NPR), the Norwegian Prescription Database (“Reseptregisteret”), and the Norwegian Labour and Welfare
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regarding the practical matters of moving to Denmark and working as a PhD at DTU. Application procedure Your complete online application must be submitted no later than 14 September 2025 (23:59 Danish time