27 embedded-system "https:" "https:" "https:" "https:" "Grenoble INP Institute of Engineering" uni jobs at SciLifeLab
Sort by
Refine Your Search
-
A position as Associate Senior Lecturer/Assistant Professor (tenure track) within the area Data-Driven Evolution and Biodiversity in aquatic or terrestrial environments is open at the Swedish
-
program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes
-
for an exciting multi-disciplinary position where analytical experimental skills and mass spectrometry instruments are used? The Proteomics Core Facility (PCF) is an open access facility organized within the Core
-
University one of Sweden’s most exciting workplaces. Read more about our benefits and what it is like to work at Uppsala University https://uu.se/om-uu/jobba-hos-oss/ The position may be subject to security
-
groups focusing on cancer, genetic and autoimmune diseases. A fundamental idea at the department is to stimulate translational research and thereby promote closer interactions between medical research and
-
SciLifeLab is seeking a Scientific Lead to further develop the Pandemic Laboratory Preparedness strategic area (PLP) SciLifeLab Pandemic Laboratory Preparedness (PLP) Strategic Area, established in
-
that invests in sustainable employeeship and offers safe, favorable working conditions? We welcome you to apply for as research engineer at Uppsala University. Analysis of ancient DNA is a powerful tool to help
-
Information about the position Reference number REF 2026-0126 SciLifeLab (www.scilifelab.se ), established in 2010, is a hub for life science research in Sweden and a collaboration between Swedish
-
Referensnummer REF 2026-0054 Chalmers University of Technology is host for a well-funded tenure-track Assistant Professor position in Data Driven Cell and Molecular Biology, in a vibrant
-
student is primarily expected to be comfortable with using and developing new machine learning models, specifically generative ones, and publishing the results at top machine learning venues. The project