Sort by
Refine Your Search
-
Listed
-
Field
-
than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Software Engineer: Keystone Project (Machine-Verified LLM Inference) Mission The Keystone project
-
of Computer and Communication Sciences and the School of Life Sciences, as well as the EPFL AI Center. As part of an industry collaboration with Novartis, the lab is opening a postdoctoral position on
-
and frontend as one coherent system (upload data, run scoring, show ranked results). Degree in computer science, software engineering, data science, machine learning, or an equivalent field; Strong
-
in Molecular Medicine (AIMM) Lab, led by Prof. Charlotte Bunne at EPFL, sits at the interface of computer science and the life sciences, affiliated with both the School of Computer and Communication
-
be learned during the project, but solid Python skills and hands-on experience with graphs and GNNs are essential. Degree in computer science, software engineering, data science, machine learning
-
: Install and configure software, troubleshoot application-related issues and manage IT software updates for end-user machines. Network access: Manage client access to the EPFL network and resolve
-
knowledge of English Good knowledge of current computer software (MS-Office) Experience in molecular biology, cell biology, animal physiology would be a plus We offer Excellent working conditions in a
-
the expertise, methods, and software to enhance privacy, data protection, and transparency; notably by the use of cryptography, blockchains and smart contracts, machine learning, software verification, device and
-
programming (Python, GIT, etc.) strongly preferred Basic cleanroom experience preferable Excellent technical problem-solving skills Open-mindedness, communication skills and critical thinking Willingness
-
. Child and education allowances, on-campus daycare. Discounts for public transport and access to car sharing services at reduced price. Don’t miss the chance to shape the future of research and education