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Doctoral candidate in the nexus between doping and thermal conductivity in EU Training Network FADOS
Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Spain Application Deadline 30 Sep 2025 - 23:59 (Europe/Madrid) Type of Contract Temporary Job Status Full-time Hours Per Week 37.5
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/Experience PhD in Biology or related degree if the degree required the individual to complete water quality analyses. At least two year’s of experience processing samples to complete water quality assessment
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response evaluation core lab) and advanced image processing lab, and support from three physicists who provide expertise for all imaging modalities. There is a major effort to incorporate artificial
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search bar to view and apply for open positions. Students at University of Arkansas System two-year institutions will also view open positions and apply within Workday by searching for “Find Jobs
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Contract type: Full time, Fixed term until 30th June 2029 (extendable) About the role: We are seeking a Program Manager to support a newly appointed BHF Chair of Cardiovascular AI and the operation of a
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expertise in Robotics, Lab Automation and Image Informatics. You will be also supported by a senior supervisor from Draeger. Candidates should have an undergraduate qualification in Computer and Data Science
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) and clouds You will develop novel methods and analysis tools for in-situ aerosol and cloud data using state-of-the-art techniques (e.g., image processing, machine learning) A significant fraction of the
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related to staff position within a Research Infrastructure? No Offer Description About Us The School of Cardiovascular and Metabolic Medicine & Sciences (SCMMS) provides an outstanding multi-disciplinary
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opportunities, an environment, a culture that just aren’t found together anywhere else. This is the right place for you if you’re curious, motivated by the future of technology and want to be part of a unique
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setup and then expand to other maize growing regions globally to develop a novel picture of potentially attainable maize productivity under climate change worldwide. Insights from these modeling exercises