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develop your expertise across research methodology, experimental design and delivery, contributing to innovative research that strengthens the University’s standing as a national leader in the field
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6,500 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of more
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and machine learning with density functional theory, or other similarly relevant computational methods, to advance understanding of materials design predictions for 2D and 3D systems with electronic and
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with aerial robots, PX4, MAVROS/MAVSDK, or real-world drone deployment is highly preferred • Ability to design robust systems under limited communication, onboard computation constraints, and
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independence in a highly collaborative environment that values mentorship, innovation, and professional growth. Be Bold. Join a research program focused on understanding how tumors evolve during and after
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) infrastructure of New York State’s Empire AI enabling us to train large AI models that will outperform traditional numerical prediction models. Duties: ● Design, train, and evaluate novel AI/ML models. Develop
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to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity
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differentiation. The position will focus on designing and executing experiments involving Cas9 based perturbation, single cell multi omics method development, and downstream verification in transgenic cell lines
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of ultrafast light. This role is mostly experimental with some theory aspects. You will design and implement advanced time-resolved experiments involving home-built ultrafast laser spectroscopy, and will manage
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computational design and in vitro experiments, the team has developed multiple in silico and in vitro methods to design novel antibodies and nanobodies as diagnostic or therapeutic agents and research tools. In