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-doctoral researchers trained in physics, biology, and chemistry with whom the successful candidate will collaborate closely. Applicants must have a PhD in physics or biological physics. Excellent analytical
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application d) Previous experience with computational modelling and machine learning. Additional optional skills and qualifications: Experience with Soft and Living Matter. Contracting requirements
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
proof checker, AI-assisted collaboration. Develop and analyze algorithms for learning and optimization. Participate in collaborative research projects and mentoring. Contribute to academic publications
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contribution to the DRIVE PR Learning Lab and dissemination activities collaboration with industrial partners and other researchers in the project possibility to engage in teaching at undergraduate and/or
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Post-Doctoral Associate/Associate Research Scientist in the Division of Science (Biological Physics)
the successful candidate will collaborate closely. Applicants must have a PhD in physics or biological physics. Excellent analytical skills are required and prior experience in soft matter or biological physics
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experimental researchers who are collaborating partners of the Roux Institute and will thus include opportunities for collaboration with other faculty at the Roux Institute and other colleges at Northeastern
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, chemists, chemists and engineers collaborate, each with their expertise, to carry out a scientific activity with a shared research goal. The “Advanced characterizations and optimized functional materials
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close collaboration with a deep-tech startup. You will work in an internationally recognized research environment with access to state-of-the-art cleanroom facilities and collaborate with leading academic
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systems as well as in flow control technologies. The group’s research is conducted within collaborations performed with European partners such as the European Space Agency (ESA), the German-Dutch Wind
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new Computational Pathology Group in Barcelona, and develop this project at the CVC in close collaboration with the Vall d’Hebron Research Institute (VHIR, https://vhir.vallhebron.com/en ) in the Vall