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to characterize the conformational properties of IDRs and the properties of the condensates they form. The candidate will interface with trainees and staff scientists in the Mittag lab, and with collaborators in a
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highlight your research interests and relevant skills, and describe why you are applying for this fellowship (maximum 2 pages) Short project proposal where you describe how you suggest the proposed method
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Postdoctoral Research Associate- Training in the Design & Development of Infectious Disease Therapeu
research infrastructure at St. Jude to train top-tier postdoctoral fellows with the necessary skills to lead independent research programs in the discovery of infectious diseases therapeutics including small
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Postdoctoral researcher position at the Department of Animal and Veterinary Sciences, Aarhus Univ...
for ensuring biosecurity for animals kept outdoors Development and evaluation of a training and testing programme targeting European pig inspectors to monitor tail lesions at slaughter The preferred candidate
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Please apply here: https://apply.workable.com/ellison-institute-of-technology/j/91F1A5719B/apply/ Led by a world-class faculty of scientists, technologists, policy makers, economists and
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Higher Education. Her core asset is her well connected world-class academic staff which will attract the most motivated, talented and creative students and young researchers who will learn to enjoy taking
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also has experience with in-process and post-production testing of finished dosage forms according to guidance by the United States Pharmacopoeia. Successful candidates should meet the following criteria
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, suitable for deployment on ARSPECTRA devices. You will work at the interface between finite-element modelling, software engineering and embedded/edge computing. Key Responasbilities: Develop and optimise
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related to software-based and network attacks. Technology transfer: Work with industrial and governmental partners to transfer the group's research results into functional prototypes and technology
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to test and compare strategies safely, calibrate models with real data, and support scenario-based decision-making. • Building data-driven models (e.g., forecasting, clustering/segmentation, learning-based