258 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions in Sweden
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- Lunds universitet
- Karolinska Institutet (KI)
- University of Lund
- Umeå University
- Linköping University
- Nature Careers
- Uppsala universitet
- KTH Royal Institute of Technology
- Swedish University of Agricultural Sciences
- Umeå universitet stipendiemodul
- SciLifeLab
- Lulea University of Technology
- Umeå universitet
- Luleå University of Technology
- Örebro University
- Sveriges Lantbruksuniversitet
- KTH
- Luleå tekniska universitet
- Blekinge Institute of Technology
- IFM, Linköping University
- Jönköping University
- SLU
- University of Borås
- European Magnetism Association EMA
- Göteborg Universitet
- Göteborgs universitet, Department of Marine Sciences
- Högskolan Väst
- IFM/Linköping University
- Institutionen för växtskyddsbiologi
- Linnaeus University
- Linneuniversitetet
- Luleå tekniska universitet/Luleå University of Technology
- Luleå university of technology
- Mälardalen University
- Stockholms universitet
- The Swedish University of Agricultural Sciences (SLU)
- Umeå Plant Science Center
- 28 more »
- « less
-
Field
-
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
-
statistics and machine-learning–assisted approaches, in close interaction with data science collaborators Active collaboration across disciplines spanning spectroscopy, soft matter and nanomaterials
-
Navigation and Perception Lab (https://rnp.aass.oru.se ) which belongs to the Centre for Applied Autonomous Sensor Systems (AASS) research environment (https://www.oru.se/english/research/research-environments
-
conditions and attractive benefits. Equality, diversity and equal opportunities are essential to quality and form an integral part of KTH’s core values as a university and public authority. Learn more about
-
testing and collaboration with infrastructure owners or managers - Experience in supervision - Knowledge of data-driven methods, signal processing, or machine learning - Familiarity with sustainable
-
. 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
-
–classical algorithms or optimization methods Background in uncertainty quantification, reduced-order modeling, or machine learning Experience collaborating in interdisciplinary research teams A doctoral
-
, and demonstrated ability to develop computational pipelines for biological datasets. Experience in statistical modeling and/or machine learning applied to biological systems, with the ability to link
-
computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
-
of Medical Biosciences, which offers an international, collaborative, and open-minded research environment. Please visit the lab’s webpage for more information: https://erdemlab.github.io . The Erdem research