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toolchains Familiarity with distributed training/inference, AI system bottlenecks, and performance tuning Prior experience with cloud computing and AI system deployment in production settings
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challenges, encompassing both fundamental and applied research, from the development of algorithms, tools, and frameworks that advance scientific discovery to methodologies that utilise computational
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the ability of neural networks to learn unknown posterior distributions distributions. Their use in the field of image microscopy, however, remains limited. The purpose of this PhD thesis is to develop
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research program and group, teaching and supervising BSc and MSc students, PhD candidates and postdoc fellows. Promotes an inclusive, and supportive work environment. Is ambitious and open to tackling new
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support tasks that are integral to the operation of the Pharmaceutical Department. Assists Pharmacists in dispensing medication and maintains appropriate patient records. Orders, stocks, and distributes
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support tasks that are integral to the operation of the Pharmaceutical Department. Assists Pharmacists in dispensing medication and maintains appropriate patient records. Orders, stocks, and distributes
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insights into scale-up and process feasibility across collaborative initiatives. Train and supervise junior engineers, technicians, PhD students, Postdocs, and interns in process development and safety. Is
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novel standard database structure for the storage and distribution of neurophysiology data. This is a rolling advertisement which can close or be extended, at any time, based on the number of applications
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harvesting, storage, distribution and applications Superconducting magnetic energy storage systems Solid-state battery, high density battery Smart green buildings (including air quality, sensors, well-living
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Vetmeduni Required education, qualifications and experience Completed studies in natural sciences and doctorate / PhD in a relevant field At least 2 years of PostDoc-experience in a relevant field Outstanding