218 machine-learning "https:" "https:" "https:" "https:" "https:" positions in Sweden
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Linköping University
- Lunds universitet
- Uppsala universitet
- SciLifeLab
- Umeå University
- Chalmers tekniska högskola
- Karolinska Institutet (KI)
- Linköpings universitet
- University of Lund
- Blekinge Institute of Technology
- Umeå universitet
- Umeå universitet stipendiemodul
- Örebro University
- KTH
- Stockholms universitet
- University of Borås
- chalmers tekniska högskola
- Jönköping University
- Karlstads universitet
- Kungliga Tekniska högskolan
- Lulea University of Technology
- Luleå University of Technology
- Nature Careers
- Swedish University of Agricultural Sciences
- The University of Gothenburg
- Chalmers Tekniska Högskola
- Chalmers tekniska högskola AB
- Department of Chemistry and Molecular Biology, University of Gothenburg
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg
- Institutionen för akvatiska resurser
- Karolinska Institutet
- Karolinska Institutet, doctoral positions
- LInköpings universitet
- Linkopings universitet
- Linköping university
- Linköpings University
- Luleå tekniska universitet
- Malmö universitet
- NORDITA-Nordic Institute for Theoretical Physics
- Sveriges Lantrbruksuniversitet
- University of Skövde
- 33 more »
- « less
-
Field
-
machine learning models in simple, standalone devices that are capable of advanced processing. Building on our work on solution-based neuromorphic classifiers (https://doi.org/10.1002/advs.202207023
-
electronic systems. You will also develop and teach courses in electronics design at the bachelor and master levels, and take part in the further evolution of the excellent and multi-faceted research and
-
processing using high-throughput experimentation (HTE), analytical tools and machine learning under CircuLab. The candidate will be dedicated to establish the unique functionality of the platform and should
-
-disciplinary research at the intersection of artificial intelligence, robotics, machine learning, and human-robot interaction. Subject area The subject area for this position is Computer Science. Background
-
access to preventive care and neighborhood characteristics influence long-term health trajectories. The project applies both econometric and machine learning approaches to identify high-risk groups and to
-
, and data analysis. Communicates effectively in English, both orally and in writing. Is motivated, collaborative, detail-oriented, and curious to learn. Is interested in mentoring or collaborating with
-
modeling, differential equations, Bayesian inference, large-scale computational methods, bioinformatics, data science, machine learning, optimisation, numerical methods. Please read more about the position
-
of prior learning. For other eligibility requirements, refer to Karlstad University’s Appointments Procedure . Assessment criteria In the assessment, equal weight will be given to teaching expertise and
-
machine-learning and high-throughput methods, to ab initio calculation of electrochemical reaction kinetics. The position is funded by the Swedish Energy Agency’s research program “Sustainable Battery Value
-
description and working tasks The project will develop privacy-aware machine learning (ML) models. We focus on data-driven models for complex and temporal data, including those built from synthetic sources