267 machine-learning "https:" "https:" "https:" "University of St" Postdoctoral research jobs in Sweden
Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- Lunds universitet
- University of Lund
- Karolinska Institutet (KI)
- Nature Careers
- Swedish University of Agricultural Sciences
- KTH Royal Institute of Technology
- Linköping University
- SciLifeLab
- Umeå University
- Umeå universitet stipendiemodul
- Uppsala universitet
- Lulea University of Technology
- Örebro University
- Luleå University of Technology
- Luleå tekniska universitet
- Umeå universitet
- Blekinge Institute of Technology
- Sveriges Lantbruksuniversitet
- KTH
- Karlstad University
- Mälardalen University
- IFM, Linköping University
- Jönköping University
- Lund University
- SLU
- University of Borås
- Göteborgs universitet, Department of Marine Sciences
- Högskolan Väst
- IFM/Linköping University
- Karlstads universitet
- Linnaeus University
- Linneuniversitetet
- Luleå university of technology
- Stockholms universitet
- The Swedish University of Agricultural Sciences (SLU)
- Umeå Plant Science Center
- 27 more »
- « less
-
Field
-
visiting: https://www.slu.se/en/about-slu/work-at-slu/ Location: Uppsala Form of employment: Temporary employment 24 months, with the possibility of extension. Scope: 100% Start date: 1st of September 2026
-
multi-modal perception and machine learning. Current noninvasive agricultural monitoring systems rely primarily on passive sensing, which limits sensitivity to early-stage plant stress. This project
-
to national environmental and climate goals as well as to the Sustainable Development Goals. We are situated at Campus Ultuna in Uppsala and in Skara. Read more about the department here (https://www.slu.se/en
-
of mathematics. We are not accepting applications for this job through MathJobs.Org right now. Please apply at https://lu.varbi.com/en/what:job/jobID:905918/iframeEmbedded:0/where:4 . Contact: Magnus Goffeng
-
machine-learning tools. Data analyzed include precursors such as volatile organic compounds, aerosol number and mass concentrations, chemistry, biological particles, cloud and ice condensation nuclei, light
-
, machine learning, etc. Building a quantum computer requires a multi-disciplinary effort involving experimental and theoretical physicists, electrical and microwave engineers, computer scientists, software
-
. The position bridges machine learning and molecular science, with opportunities for collaboration, mentorship, and impactful research. About us The Department of Computer Science and Engineering (CSE
-
fundamental questions about soil health in agricultural cropping systems and advance your research career in a leading international research environment. The position is part of the EU project MultiSoil (https
-
statistics and machine-learning–assisted approaches, in close interaction with data science collaborators Active collaboration across disciplines spanning spectroscopy, soft matter and nanomaterials
-
by interdisciplinary collaboration, applied research projects, and access to advanced development, simulation, and visualisation infrastructures. Where to apply Website https://www.bth.se/english