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quality and safety associated with reducing the intensity of CIP processes making optimization challenging. Monitoring tools and advanced data analytics at industrial scale provide an opportunity that
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Academy, University of Gothenburg. General information about being a doctoral student at the University of Gothenburg can be found on the university's doctoral student pages. https://www.gu.se/en
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contact: Dr. Molly Prigge: [email protected] https://medicine.utah.edu/faculty/molly-b-dubray-prigge Dr. Jace King: [email protected] https://healthcare.utah.edu/find-a-doctor/jace-b-king
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 16 hours ago
, Data Science and/or Nutritional epidemiology to join an interdisciplinary project aiming to understand how the nutrient contributions of aquatic foods vary across space and time—globally and with a
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Yale School of Medicine - The Center for Neuroethology and Physiological Plasticity | New Haven, Connecticut | United States | 19 days ago
well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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, post-doctoral position is available in the Guermonprez lab at Institut Pasteur Paris (“Dendritic cells and adaptive immunity” Unit, Immunology Department https://research.pasteur.fr/fr/department
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, progression, and treatment response. This position focuses on the application and development of bioinformatics methods for the analysis of genomic cancer data, including large public international
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researching Universal Design in Higher Education. With the principal investigator, the post holder will design the strategy for collecting and analysing baseline data, identification of key indicators
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stigma, mental health, and substance use among LGBTQ+). They will also have opportunities to analyze existing data, to author and co-author manuscripts, and to gain exposure to and mentorship on grant
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combining state-of-the-art machine learning with physicochemical knowledge and molecular modeling. Representative publications from our group include: https://doi.org/10.1038/s41467-025-63947-5 https