Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- Jönköping University
- Karlstad University
- Linköping University
- Linnaeus University
- SciLifeLab
- Umeå University
- Umeå universitet stipendiemodul
- IFM/Linköping University
- Karolinska Institutet (KI)
- Linköpings universitet
- Lulea University of Technology
- Luleå University of Technology
- Mälardalen University
- Nature Careers
- Sveriges Lantbruksuniversitet
- Swedish University of Agricultural Sciences
- Umeå universitet
- University of Lund
- Örebro University
- 10 more »
- « less
-
Field
-
solutions based on conceptual theory and empirical eco-evolutionary, molecular, and genetic data that can meet the needs of current and evolving plant production systems. For more information about the
-
-terrestrial networks, and the performance evaluation of these solutions in challenging IoT scenarios. The position involves both theoretical and experimental research, including algorithm design, simulation
-
expertise in existing methods and state-of-the-art in the field. The position includes algorithm design, software implementation, and validation on experimental datasets. You will contribute to building a
-
application! Work assignments This position focuses on the development of theoretically grounded and practically scalable decentralized learning algorithms under realistic system constraints, including
-
in conducting research on AI, algorithmic governance, automation, digitalisation and the implications for the public sector Experience applying analytical and methodological research approaches
-
Science is part of the Faculty of Health and Life Sciences. The research activities within this multidisciplinary department include the areas of aquatic ecology, cell and organism biology, evolutionary
-
Design and implementantion of automatic calibration techniques for fast tune-up Implementation and benchmarking of quantum algorithms Who we are looking for The following requirements are mandatory: A
-
sequences will be systematically searched against established public databases to assess novelty, relatedness, and evolutionary origin. The postdoctoral bioinformatician will play a central role in viral
-
Computer Vision algorithms. Experience using urban building stock modelling and urban digital twins What you will do: Design & Develop: Create data structures for detailed, spatialised construction component
-
, experience working with the PyTorch framework, documented ability to develop algorithms and implement them in efficient code, and experience in statistical modeling, optimization or numerical methods, as