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the mechanisms underlying their joining and biological interaction with a view to optimizing their performance. Where to apply Website https://careers.polito.it/ Requirements Additional Information Eligibility
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Development of LW Models and Topology Optimization for Advanced Materials and
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. Duties include: Organize and run the N-STORM super-resolution system and the A1 confocal system; teach the PBS neuroscience community for super-resolution and confocal microscopy use; optimize
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 8 hours ago
to provide optimal multidisciplinary care to patients. Candidates must possess state licensure as Nurse Practitioner or Physician Assistant. Compensation package will be commensurate with experience
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an autonomousmanner, only within the limits of the research program available on the web address (Number 290) https://www.uniud.it/it/albo-ufficiale Research assignment financed by INTERREG IT-HR 2021-2027 BRIGANTINE
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University of California San Francisco | San Francisco, California | United States | about 17 hours ago
: 87821BR The Case Manager promotes the achievement of optimal clinical and resource outcomes and is responsible for facilitating appropriate lengths of stay for all hospital admissions in accordance with its
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/systems theory and optimization is desirable. Full details of how to apply can be found at the following link: https://www.sheffield.ac.uk/acse/research-degrees/applyphd Applicants can apply for a
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specializes in web content and AI, developing and implementing strategies that optimize digital experiences and leverage AI for personalization and efficiency. This role combines creative storytelling with data
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directly through writing, editing and optimization. Will develop and execute a comprehensive, content-led SEO strategy in collaboration with the Director of Marketing and in-person engagement with cross
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the key electromagnetic coupling effects between layers and enables fast prediction of their tunable response without relying solely on full-wave simulations. To create efficient adjoint-based optimization