Sort by
Refine Your Search
-
Listed
-
Employer
- Swedish University of Agricultural Sciences
- University of Lund
- Umeå University
- SciLifeLab
- Linköping University
- Nature Careers
- Blekinge Institute of Technology
- Chalmers University of Technology
- Karlstad University
- Linnaeus University
- Lunds universitet
- Mälardalen University
- Karolinska Institutet (KI)
- Örebro University
- Jönköping University
- Karlstads universitet
- Lulea University of Technology
- University of Borås
- University of Gothenburg
- KTH
- Umeå universitet
- Uppsala universitet
- 12 more »
- « less
-
Field
-
new flagship research program aiming to to map the molecular structure and function of single human cells in time and space and create AI-based models to predict human cells. It is funded by the Knut
-
KTH Royal Institute of Technology, Support services at KTH SciLifeLab is launching a new strategic research program, Alpha Cell to map the molecular structure and function of single human cells in
-
revolution in genetic engineering awarded the Nobel Prize in Chemistry. The Life Science bachelor program at Umeå University is based at both the Department of Molecular Biology and the Department of Chemistry
-
master's level courses in machine learning and R programming during the autumn semester of 2025 (with a possibility of extension). The main tasks involve assisting students during lab sessions and possibly
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description of the workplace: The Neurodegenerative Research group
-
science, neuroscience, statistics, physics, mathematics or a related discipline. Competence using Linux-based high-performance parallel computing systems. Familiarity with git and GitHub. Experience building pipelines
-
Application Deadline 6 Sep 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 304--1
-
, statistics, quantitative biology, physics, mathematics or a related discipline. Fluency in Python programming language. Experience in statistical modeling and/or machine learning. Experience with curation
-
Experience in collaboration with industry or public sector organizations Knowledge of R, Matlab, Julia. High demands are placed on being able to plan, organize, document and follow up one's work independently
-
, mainly within programs leading to degrees in agronomy and biology. We are now looking for an associate senior lecturer who wants to address knowledge gaps on how resilient and sustainable crop production