28 Computer-Science-"https:" "https:" "https:" "https:" "https:" "https:" "GEUS" Postdoctoral research jobs at EPFL
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mass-balance approaches to more advanced computational models; and Related topics in indoor air quality, aerosol science, exposure science, and healthy buildings. Projects may combine controlled
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be developing new methods for remote sensing. Profile PhD in Computer Vision Background in Computer Science Research experience in 3D Computer Vision, remote sensing and aerial imagery Strong
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research appears in leading journals, including the Academy of Management Journal , Management Science , the Strategic Management Journal and the Academy of Management Review . Prof. Gruber served as
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Computer Science, Electrical Engineering, or related field. Strong proficiency in C/C++ and Linux Systems Programming . Experience with Embedded Linux and Kernel drivers. Bonus Skills (Nice to have
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conducts applied and theoretical research on the economics and politics of sustainable development, as well as the policies to achieve it. More information at: https://www.epfl.ch/labs/pasu/ . We are
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highly motivated Postdoctoral researcher (W/M) to join our Neuroengineering Laboratory at EPFL ( https://go.epfl.ch/ramdya/ ) to work on an ERC funded project aiming to reverse-engineer insect limb motor
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focus of the EPFL Laboratory for Bio- and Nano-Instrumentation is centered on developing advanced nanoscale measurement technologies for applications in nanoscience, materials science and life science
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conditions – more information can be found on our website (https://www.epfl.ch/campus/services/human-resources/en/basic-starting-salary-of-doctoral-assistants-and-postdocs/) Opportunity to perform state-of
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optimal T-cell expansion protocols. In close collaboration with the lab of George Coukos ( https://agora-cancer.ch/laboratory/coukos-lab/ ), we will derive protocols enabling rapid expansion of cancer
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postdoctoral position is available in the laboratory of Prof. Alex Persat (EPFL School of Life Sciences, https://www.p-lab.science/ ) to establish a new image-based drug screening platform targeting