Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- SciLifeLab
- University of Lund
- Nature Careers
- Linköping University
- Umeå University
- Swedish University of Agricultural Sciences
- Linnaeus University
- Mälardalen University
- Karolinska Institutet (KI)
- Blekinge Institute of Technology
- Lulea University of Technology
- Jönköping University
- Örebro University
- KTH Royal Institute of Technology
- Karlstad University
- Lunds universitet
- NORDITA-Nordic Institute for Theoretical Physics
- Sveriges lantbruksuniversitet
- 9 more »
- « less
-
Field
-
, and agent-based modelling have paved the way for innovative collaborations between social scientists and computer scientists that jointly seek to answer fundamental questions of the social sciences and
-
Deadline 21 Sep 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 1114--1-13522
-
umbrella organization and builds on four pillars: Qualitative methods; Experimental methods; Computational Social Science, as well as Skill School (https://www.sam.lu.se/en/research/lund-social-science
-
-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven models for complex data, including high
-
modern programming languages are required, as well as experience in computational or mathematical modelling. Experience with the analysis of biological data is an advantage. The candidate should have a
-
based on advanced methods in statistical modelling, machine learning (including artificial neural networks) and geographic information analysis. You will be part of two dynamic research environments
-
and accepted to the PhD program at Stockholm University. Project description Project title: “Deep learning modeling of spatial biology data for expression profile-based drug repurposing”. A new exciting
-
time and space and create AI-based models to predict human cells. As the Scientific Program Manager, you will make a key contribution to this exciting new direction at SciLifeLab through setting up
-
learning analyses, but also with other types of analysis. The work involves supporting Swedish researchers under a user fee-based support model. The projects will differ in complexity and length and will
-
mathematics, ecology, history, climatic and medical sciences in collaboration across multiple institutes. An integral part of the project is to develop process-based eco-epidemiological models considering