Sort by
Refine Your Search
-
Category
-
Employer
- Umeå University
- SciLifeLab
- Linköping University
- Swedish University of Agricultural Sciences
- Lulea University of Technology
- University of Lund
- Uppsala universitet
- Luleå University of Technology
- Lunds universitet
- Jönköping University
- Mälardalen University
- Blekinge Institute of Technology
- Chalmers University of Technology
- Göteborgs universitet
- Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg
- Institutionen för Biologi och miljövetenskap
- Institutionen för mark och miljö
- KTH Royal Institute of Technology
- Karolinska Institutet, doctoral positions
- Linnaeus University
- Sveriges Lantbruksuniversitet
- Sveriges lantbruksuniversitet
- The Swedish University of Agricultural Sciences
- The Swedish University of Agricultural Sciences (SLU)
- Umeå universitet
- 15 more »
- « less
-
Field
-
systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization
-
, Bayesian inference, model calibration, and Markov Chain Monte Carlo methods, uncertainty quantification, statistical modelling, and Gaussian processes, machine learning for time series, sequence-to-sequence
-
higher education credits (ECTS). Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural networks, as well as courses in Python, GPU programming
-
algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical
-
, transcriptomics, bioinformatics, and advanced imaging. Within the research group, we value a positive work environment characterized by respect and consideration in our relationships. We continuously strive
-
in the advancement of wearables, the Internet of Things, Industry 4.0, etc. The focus of this project is to apply this technology to machine components to give information about the operation. This
-
Subject area: Biology Description of the PhD projects We are seeking two PhD students in the field of biogas production, with a focus on the digestion process. The biogas process is currently
-
studies ranging from the development and preclinical evaluation of radiopharmaceuticals to biological characterization, quantitative image analysis, and assessment of treatment response. Within the research
-
characterization, quantitative image analysis, and assessment of treatment response. Within the research group, we value a positive work environment characterized by respect and consideration in our relationships
-
. In addition, the following are requirements for the role: Strong programming and quantitative skills, particularly in Python and/or R. Experience in deep learning, machine learning, or large-scale