279 computer-programmer-"https:"-"https:"-"https:"-"https:"-"https:"-"Babes-Bolyai-University" positions in Switzerland
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100%, Zurich, fixed-term The Robotic Materials group is looking for a highly motivated PhD student to work on programmable materials that access multiple distinct mechanical states for next
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Collaborate with stakeholders in professional football Develop your own research agenda and profile Take one for the team Profile Doctoral degree in computer science, mathematics, statistics, or similar
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of methods to program material stiffness in-situ with light. Goals: high stiffness contrast (rigid-soft), fast transition (<1s), and small form factor (< mm scale) Characterization and developing theoretical
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. The scholarship programme is currently open to applicants from 183 countries. Scholarship Types Overview (max. age: 35 / funding: CHF 2450.--/month) target group main requirements max. duration Research PhD
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. ICP Systems Engineer Mission The Integrated Computing Platform (ICP) provides advanced IT
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of an industrial optical measurement system based on an existing functional prototype. The project combines mechanical design and CAD, optomechatronic system integration, repeatable image acquisition, and computer
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Intelligence in Molecular Medicine (AIMM) Lab, led by Prof. Charlotte Bunne at EPFL, sits at the interface of computer science, artificial intelligence, and biomedical applications. The lab is affiliated with
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., at the intersection of psychology, technology, and human–computer interaction). We welcome candidates with a strong interest in fundamental research and, ideally, prior experience in VR research. The project duration
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interest in solid mechanics, interface mechanics, and computational modeling to investigate how local contact interactions in architected materials shape their macroscopic interface response. The project
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dedicated researcher with a PhD in mathematics, electrical or mechanical engineering, computer science or a related field, and a strong methodological background in machine learning. The ideal candidate has