265 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" Postdoctoral positions in Sweden
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- Lunds universitet
- University of Lund
- Karolinska Institutet (KI)
- Swedish University of Agricultural Sciences
- Linköping University
- Nature Careers
- KTH Royal Institute of Technology
- Umeå University
- SciLifeLab
- Umeå universitet stipendiemodul
- Lulea University of Technology
- Uppsala universitet
- 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
- European Magnetism Association EMA
- 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
- 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
-
includes, for example, the areas of labour markets, wellbeing and welfare, macro-financing, globalisation and econometrics. The position is specifically at the AI-Econ Lab at Örebro University (https
-
authority. Learn more about our benefits and what it's like to work and grow at KTH. Trade union representatives Contact information to trade union representatives. To apply for the position Log into KTH's
-
, pathology, policy and planning. We teach bachelor, Masters and PhD level courses addressing all of these subject areas. For more information about the department or division visit: Southern Swedish Forest
-
Akelius Math Learning Lab, see: https://www.chalmers.se/institutioner/mv/akelius-math-learning-lab/ Who we are looking for The following requirements are mandatory: Doctoral degree in mathematics
-
metaproteomics approaches Analyzing large-scale multi-omics and clinical datasets to investigate individual metabolic responses to diet. The work includes applying advanced statistical and machine learning methods
-
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
-
of working with motion capture, eye tracking, machine learning, or other advanced behavioral analyses or related research experiences. A consistently excellent academic track record is required, including
-
, 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
-
statistics and machine-learning–assisted approaches, in close interaction with data science collaborators Active collaboration across disciplines spanning spectroscopy, soft matter and nanomaterials