Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- University of Lund
- Chalmers University of Technology
- Linköping University
- SciLifeLab
- Lulea University of Technology
- Umeå University
- Swedish University of Agricultural Sciences
- Nature Careers
- KTH
- Linnaeus University
- Mälardalen University
- Blekinge Institute of Technology
- Karlstad University
- Mid Sweden University
- 4 more »
- « less
-
Field
-
systems, complex networks, data-driven modeling, machine learning, optimization, and sensor fusion. The division has extensive collaborations both with industry and other research groups around the
-
production. While discussions often focus on whether or not cows should have pasture access, little attention has been given to how these pasture periods should be managed to optimize welfare. This PhD project
-
extensive expertise in technology and systems for sustainable production of food and bioenergy, including optimal nutrition circuits and logistics systems. Within the field of methodologies, we have extensive
-
driving the integration of methods in artificial intelligence (AI) and machine learning (ML) to improve and optimize workflows when developing therapeutic antibodies. Duties – what we expect from you As an
-
predictive of distant metastasis. 4. Apply and optimize AI-ML models based on the large datasets to identify and validate the oncogenic pathways and drug targets for designing targeted therapy. The findings
-
approach that integrates wireless communication, computer vision, and machine learning to optimize PC transmission from sensors to an edge server for remote registration. The research is funded by Wallenberg
-
: detailed theoretical studies and optimization of light guidance in HCFs, characterization of fabricated HCFs (on both structural and optical transmission properties), experimental investigations of material
-
. The work is performed in connection to two ongoing research projects “Probabilistic multiscale modelling of the macroscopic crack growth behavior in heterogeneous materials” and “Optimized Digitalization
-
community. The fact that you are present and active is something we see as self-evident in order to ensure that you are able to perform your duties in an optimal way and enjoy your working community
-
optimization • Experience of multidisciplinary work and collaboration between academia and external partners. • Good programming skills in Python (Pytorch) etc. • Additional knowledge on waste and Near-infrared