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locations (Glenn G. Bartle Library, Science Library and the University Downtown Center Library) and an off-site Collections Management Facility (CMF), our aim is to provide access to primary research
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children, especially children with intellectual disability, is strongly preferred. Qualifications Bachelor of Science with a focus in Psychology and 1 to 2 years of experience or equivalent combination
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environmental systems, building science, and building systems; a commitment to environmental and ecological awareness, and excellence in architectural design. Candidates should demonstrate ability to teach
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& Biomedical Sciences (VMBS) (http: //vetmed.tamu.edu/) at Texas A&M University (TAMU) invites applications from microbiologists for one (1) full-time, 9-month appointment, faculty position in host bacteria
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High Performance Research Computing (HPRC) is an interdisciplinary research center advancing computational and data-enabled science and engineering with a broad mission for advancing research, education
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philanthropy, Eidos advances initiatives that address behavioral, social, and structural determinants of health through human-centered design, implementation science, and translational research. The Associate
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foundation in modern biological sciences to prepare them for a multitude of careers that depend on a solid understanding of biology. To learn more, please visit us at https://www.bio.tamu.edu/ . We are a
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: 27.02.2026 WHEN TO APPLY:27.03-10.04.2026 WEBSITE: http://wiadomosci.sggw.pl/ https://bazaogloszen.nauka.gov.pl/ https://euraxess.ec.europa.eu/jobs KEY WORDS: molecular biology, RNA biology, bioinformatics
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. Our group works on basic science projects on gene regulation in blood stem cells (e.g. Frömel et al., Cell 2025 ), and more translational projects in the context of acute myeloid leukemia (AML) and pre
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | about 1 month ago
collaboration with L. Bonati at IIT Genova, who developed the library mlcolvar, https://github.com/luigibonati/mlcolvar ). 2) Compare the data-science dimensional reduction approaches above, with machine learning