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University of California, San Francisco | San Francisco, California | United States | about 3 hours ago
resistance, and novel diagnostic test development. Our team includes physician scientists in Infectious Diseases and Pulmonary/Critical Care Medicine, PhD post-doctoral scientists in microbiology, immunology
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? Not funded by a EU programme Reference Number AE2025-0571 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt
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date Submit application to https://zuseschoolrelai.de/application/ Accommodation The International Office helps visiting academics, PhD students, and postdocs who are travelling to Munich for a set
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. This position is for those who plan to apply for their own grants and projects independently. Qualifications Required: PhD and/or MD of bioinformatics, computer sciences, and biostatistics. Physical Demands
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Computer Engineering, along with a Master's in ECE and a PhD in Interdisciplinary Engineering. Our students are well-grounded with hands-on experience in modern engineering labs integrated with faculty
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material, as well as a work-plan. Please see the CBS website for more information about admission here: https://www.cbs.dk/en/research/phd-cbs In addition to the research proposal, the application must
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disease through advanced imaging and biophysical approaches. The research group hosting this position studies Contractile Injection Systems (CIS) — natural protein machines used by bacteria to deliver
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the RELAB laboratory for the testing and development of machines for indoor air conditioning. Specifically, it concerns the analysis of the machines' noise production, both for internal and external equipment
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Internal Number: 528197 Pay Grade/Pay Range: Minimum: $53,500 - Midpoint: $66,900 (Salaried E8) Department/Organization: 214251 - Electrical and Computer Eng Normal Work Schedule: Monday - Friday 8:00am to 5
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of manufacturing. We have identified an opportunity to combine continuous microfluidic (µF) process models, process analytical techn ology (PAT) and machine learning (ML) to achieve a paradigm shift in bioprocess