Sort by
Refine Your Search
-
than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Venture Program Leader - Deep Tech & Science Startups 80-100% 1 Mission Help build the next
-
) as needed Your profile University degree (Bachelor's or Master's) in Computer Science, Data Science, or a related technical field Prior experience as a TA, head TA, or in course/program coordination
-
. • Represent the programme in relevant scientific, technical and stakeholder meetings. Profile • PhD in genetics, genomics, bioinformatics, molecular biology or a related field. • Proven experience in
-
Platform (ICP) The Integrated Computing Platform (ICP) is EPFL’s new flagship computing infrastructure and engineering support unit. Its goal is to cover the full spectrum of services needed for research and
-
than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Program Manager - Education and Innovation About the Swiss Data Science Center (SDSC) The Swiss
-
The Artificial Intelligence 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
-
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
-
EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
-
EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
-
-scale genomics. • Contribute to technical reporting, programme deliverables and stakeholder presentations. Profile • MSc or PhD in bioinformatics, computational biology, computer science, data