Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Nature Careers
- Chalmers University of Technology
- University of Lund
- Karolinska Institutet (KI)
- KTH Royal Institute of Technology
- Linköping University
- Linnaeus University
- Swedish University of Agricultural Sciences
- Umeå University
- Jönköping University
- Lunds universitet
- Mälardalen University
- SciLifeLab
- Sveriges lantbruksuniversitet
- 4 more »
- « less
-
Field
-
Application Deadline 11 Sep 2025 - 21:59 (UTC) Type of Contract Not Applicable Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related
-
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description We are looking for a postdoctoral fellow to develop and
-
Hospital, and with experts in mathematical modelling at the translational research hub IceLab , Umeå University. Work responsibilities As a postdoc in our team, you will be an integral part of a dynamic and
-
Programme? Not funded by a EU programme Reference Number 1114--1-13544 Is the Job related to staff position within a Research Infrastructure? No Offer Description Department of Forest Resource Management We
-
ecosystem functioning. The postdoctoral project will focus on analyzing and modeling tree architecture in relation to forest vitality and stress predisposition. The work will combine 3D structural data (from
-
. Eran Elhaik to design machine-learning models that unlock the potential of genomics for forensic investigations and historical reconstructions. Work duties We aim to develop machine learning methods
-
that will be affiliated with one of six possible multidisciplinary projects. The ideal postdocs will have expertise in some of the following areas: computational modeling, computational biology, computational
-
, 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
-
-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
-
will join a multidisciplinary research program that combines experimental models, patient-derived materials, and advanced technologies to explore the mechanisms that preserve auditory system homeostasis