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Field
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mission. Eligibility and Requirements We’re seeking pragmatic and applied scholars who are eager to produce research that informs real-world action, not just theory. Applicants must have: A recent PhD
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project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a collaboration between multiple research
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position is embedded in a vibrant research environment that includes several PhD students and postdoctoral researchers. The project is a close collaboration between the Computer Vision Group at Chalmers
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scientific discipline. Experience in developing and running an atmospheric transport model. Experience in interpreting data. Experience with FORTRAN and Python computer languages. Proven ability to work
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, scientific publications in journals and conferences and presentations at industry events. Is Your profile described below? Are you our future colleague? Apply now! Education · PhD degree
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effectively with a multidisciplinary team spanning engineering, biology, and computational sciences. Required Qualifications Minimum of a PhD or Doctorate in Chemical Engineering, Bioengineering, Biophysics
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pathogens. Required knowledge, skills and abilities: Good computer and communication skills. Ability to multi task and work cooperatively with others. Please attach to your completed application: -Resume/CV
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, which is a core research thrust of the FAST lab. As such, the ability to collaborate and interface with researchers across a variety of disciplines (e.g., clinicians, surgeons, engineers) is critical. Job
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researchers, 4 PhD students, 2 technicians and 8 Adjunct Professors (20% position). The research within the department is focused into two groups: sea-ice-snow-air processes and space physics. About the
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will support Aarhus University’s broader research strategy on sustainable process systems and Power-to-X technologies. Tasks: Develop process models of unit operations (e.g., electrolysis, methanol