Sort by
Refine Your Search
- 
                Listed
- 
                Category
- 
                Employer- Uppsala universitet
- Linköping University
- Linköpings universitet
- Umeå University
- Umeå universitet
- Mälardalen University
- Institutionen för biomedicinsk vetenskap
- KTH Royal Institute of Technology
- Linkopings universitet
- Lunds universitet
- School of Business, Society and Engineering
- Swedish University of Agricultural Sciences
- University of Lund
- 3 more »
- « less
 
- 
                Field
- 
                
                
                of visualization and multimodal machine learning. Admission requirements The general admission requirements for doctoral studies are a second- cycle level degree, or completed course requirements of at least 240 
- 
                
                
                conversational guides for enhancing visitors’ learning and experiences in public educational environments. The PhD student will focus on addressing the challenge of visual blindness in large language models (LLMs 
- 
                
                
                northern Europe. Our research covers a broad spectrum of fields, from core to applied computer sciences. Its vast scope also benefits our undergraduate and graduate programmes, and we now teach courses in 
- 
                
                
                funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested developing new machine learning methods for precision medicine and 
- 
                
                
                Chemistry (experimental/computational physical chemistry) -Transition metal photocatalysts studied by femtosecond X-ray science with a focus on hybrid experimental/machine-learned structural dynamic analyses 
- 
                
                
                to assimilate knowledge at the research level. Understanding and experience in machine learning and computer vision. Knowledge, experience, and strong interest and in AI and XR development. Knowledge and 
- 
                
                
                analyses and machine learning. Some data for the project already exist, but additional data will be collected from behavioural tests on privately owned pet dogs in Sweden and abroad (Europe). Travel and time 
- 
                
                
                approaches that combine artificial intelligence, machine learning, natural language processing, and social sciences. This collaborative and cross-sectoral approach aims to produce robust methods for evaluating 
- 
                
                
                computer sciences. Its vast scope also benefits our undergraduate and graduate programmes, and we now teach courses in several engineering programmes at bachelor’s and master’s levels, as 
- 
                
                
                if you have worked with prediction models, machine learning or AI models and are familiar with blood cells such as neutrophils, leukocytes and platelets. Work experience in the area is meritorious. If you