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development, service delivery with an overarching objective connecting science with society. This encompasses the development of infrastructure and processes for data standardization, data warehousing, quality
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for microscopy imaging, and operating transmission electron microscope. This position will be expected to conduct data analysis, prepare publications, and present research findings in regional and national
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discipline. Preference will be given to applications submitted by candidates within five years of receiving their PhD. In particular for this position, the following is required: PhD in artificial intelligence
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wide range of disciplines. Learn more about UNLV's postdoctoral scholars. MINIMUM QUALIFICATIONS This position requires a PhD Degree in Computer Science, Electrical Engineering, Environmental Engineering
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direct costs per year, or project leaders on sub-projects of program project (P01) or center (P50) grants. PhD or equivalent research doctorate degree candidates in positions other than postdoctoral fellow
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
on NIH-funded projects to profile small molecule PLC modulators to treat cancer and Alzheimer’s disease, and to develop methods to deliver phospholipids into cells. The position holder will also support
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on the biology of breast cancer, with a special emphasis on radiobiology and the new paradigm of FLASH radiotherapy. This position offers an exciting opportunity to contribute to cutting-edge research aimed
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. Experience with total internal reflection fluorescence (TIRF) microscopy. Ability to perform image analysis and processing (e.g., ImageJ/Fiji) The following backgrounds are considered an asset or highly
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benjamin.devauchelle@pasteur.fr in Cc. The candidate should have a PhD in Human Genetics and the following skills: Strong interest in the field of genetics, neurobiology and psychiatry. Computer skills: strong level in
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pathways for the required paradigm shift to sustainability. This position focuses on the initial work package in the project, to conduct statistical topic modelling on policy documents, ideally across