1,868 systems-science "https:" "https:" "https:" "https:" "I.E" "UCL" positions at Nature Careers
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University College London (UCL) is seeking three outstanding academic leaders to drive transformative, cross‑disciplinary research programmes at the interface of health, life sciences, and
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About us The VIB-UGent Center for Plant Systems Biology (PSB, www.psb.vib-ugent.be ) is a world-leading plant science institute with the mission to unravel the biology of plants and use the insights
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Assistant Professor in Marine Biology & Ecology - Biomedical Science or Quantitative Systems Ecology
Assistant Professor in Marine Biology and Ecology - Marine Biomedical Science or Quantitative Systems Ecology The Department of Marine Biology and Ecology (MBE) at the University of Miami (UM
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exceptional candidates for biomedical sciences faculty positions (Professor / Associate Professor / Assistant Professor) for its new School of Medicine. The University HKUST is a dynamic young University with a
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intelligence. UCL's Faculty of Population Health Sciences (FPHS) is a global leader in public health research, working across disciplines to unravel complex health challenges while educating the next generation
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About us The UCL Laboratory for Molecular Cell Biology (LMCB, http:/www.ucl.ac.uk/lmcb) is an internationally renowned, multidisciplinary, molecular and cell biology department, located in the heart
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engineering, complex systems modeling and optimization, and project management. It is dedicated to driving industrial intelligence upgrading and sustainable urban development. Discipline, including, but not
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, industrial engineering, complex systems modeling and optimization, and project management. It is dedicated to driving industrial intelligence upgrading and sustainable urban development. Discipline, including
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AITHYRA is a new, dynamic institute in Vienna, Austria, dedicated to advancing a biomedical revolution by developing cutting-edge Artificial Intelligence to drive next-generation Life Science
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process systems engineering. The position aims to advance physically consistent and predictive thermodynamic modeling, including the integration of advanced machine learning methods, to support process and