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have a PhD in Civil Engineering, Engineering Mechanics, or Mechanical Engineering. Applicants are expected to demonstrate research experience in the fields of structural modeling and machine-learning
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, other racialized persons, persons with disabilities, and those who identify as women and/or 2SLGBTQ+. Qualifications PhD in Chemical or Industrial Engineering, or relevant equivalent experience Strong
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, their development, and how disruptions in homeostasis contribute to pathological conditions. The position involves close collaboration with PhD students, postdoctoral researchers, and international partners. Active
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master's degree (or equivalent) and PhD in Mathematics/Statistics/Data Science Research expertise in the analysis of complex systems Familiar with network analysis, concepts of resilience (e.g. adaptive
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and contribute to a range of exciting collaborative projects and develop new projects. PhD in a relevant field is required. Strong track record of productivity is essential. Experience with biological
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. Aarhus – a vibrant university city by the sea, combining rich cultural life with easy access to nature. PhD in mathematics (completed or expected before start date). Preferred research record in
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.) if candidate holds a relevant degree and is working on PhD/DPhil) together with established knowledge in wired computer networks and sustainable computing, significant coding experience (both Python and C/C
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healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics
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funded by UKRI EPSRC and is fixed term for 12 months. You will be contributing to joint UKRI EPSRC – NSF CBET project on sustainable computer networks, with a focus on carbon emissions reduction and
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Engineering Principal Investigator: Dr. Milos Simic, PhD Start Date: Flexible About the Unit: The Pritzker School for Molecular Engineering (PME), established in 2011 by the University of Chicago in partnership