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the domain of drug repurposing in psychiatry and the use of AI for high-throughput signal evaluation. We are looking for a candidate with an established track record within observational research and
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the Trinity implants, which include the below: Design Trinity implants in collaboration with MGH, Einstein and KU teams. Independently, you will use the Cleanroom facilities at DTU to fabricate the Trinity
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). Human and environmental exposure modeling (e.g., ConsExpo, Chesar, Vermeer). Proficiency in navigating ECHA databases, and use of chemical safety data (REACH dossiers, hazard classification, exposure
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freedom tempered by responsibility. Salary and terms of employment The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be
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environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility. Salary and terms of employment The appointment will be based
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microbiology Animal infection models Use of pigs as a model organism Immunogenicity assessment (e.g., ELISA, flow cytometry, cell culture-based assays) Cell culture infection assays Applicants with experience in
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implemented in the Fortran programming language, and it relies on the platform CUDA for parallelization of the computation over several GPUs’ cores, and has interfaces with Matlab and Python for ease of use
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characterization. At SurfCat, we make extensive use of surface science techniques and collaborate closely VISION, which provides access to advanced microscopy tools. Promising catalysts may also be studied at large
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POTENT project, we are working with Living Lab Networks including academic and industrial partners and ports to accelerate the green energy transition by investigating the use of ports as energy hubs
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Do you have a computational background and interest in developing novel tools for integrating structural biology data to understand regulation of disordered regions of proteins? Then the Viennet lab