97 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" positions at Chalmers University of Technology
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(e.g., from the viewpoint of physics, chemistry, or mechanical engineering), programming, machine learning, or equipment automation (including microfluidic systems, robotics and remote sensing
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Fellows program . WISE, funded by the Knut and Alice Wallenberg Foundation and launched in 2022, is the largest-ever investment in materials science in Sweden and encompasses major efforts at Sweden’s
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. The position is a permanent employment with Ericsson. As an industrial PhD (iPhD) you will be employed by Ericsson while also enrolled in the doctoral programme in Electrical Engineering at Chalmers
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*. You will need strong written and verbal communication skills in English Experience with graphene functionalization Ability to work as a part of an interdisciplinary team Ability to plan and execute
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credits or a Master’s degree (magisterexamen) of 60 credits* in Physics, Mathematics, Computer Science, or equivalent Excellent written and verbal communication skills in English Ability to program in high
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made Solid background in mathematics, physics and programming Experience in processing or analysis of synthetic aperture radar data You will need strong written and verbal communication skills in English
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skills in English Ability to work effectively as part of an interdisciplinary team Ability to plan and execute scientific studies from concept to implementation, including manuscript preparation Merits
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demonstrated independent, high-quality research and potential to build a competitive research program. You also show interest in teaching and educational development. In particular, we will value: Experience in
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mathematics or a related field, strong written and verbal communication skills in English, proficiency in mathematics, and experience programming in Python, C++ etc. *for students with an education earned
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English. Solid programming skills in Python. Experience in machine learning or deep learning implementation. Meritorious qualifications Experience in image analysis. Experience with large language models