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Fixed-term: The funds for this post are available for 2 years in the first instance. Applications are invited for a two-year Postdoctoral Research Associate (PDRA) position in Chemical Process
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, and validation activities with industry stakeholders and policy makers. Lead and co-author high-quality scientific publications in international peer-reviewed journals. Support teaching or supervision
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reproducible records, present findings, and lead or contribute to publications and funding applications. Collaborate across disciplines and contribute to mentoring and a safe, constructive research environment
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You will develop new theoretical methods for quantum sensing with mechanical systems, explore their use in tests of fundamental physics, and help build the research environment of a new theory group
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Post-Doctoral Associate/Associate Research Scientist in the Division of Science (Biological Physics)
principles that drive cellular organization. The successful applicant will lead research projects to study the interplay between active cytoskeletal transport, cytoskeletal organization, and the physical
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Reporting to: Nimbus Research Group Lead
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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Physics Group, a joint working group of the Institute of Atomic and Subatomic Physics at the Technische Universität Wien and the Marietta Blau Institute for Particle Physics (MBI) of the Austrian Academy
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of Chemistry, Chemistry Research Laboratory, 12 Mansfield Road, Oxford, OX1 3TA and is available as soon as possible. Application Process Applications for this vacancy are to be made online and you will be
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the UCD School of Mathematics and Statistics. The successful candidate will lead research focused on developing a scalable, AI-driven quality control (QC) system for synoptic and climate observation data