Sort by
Refine Your Search
- 
                Listed
- 
                Category
- 
                Program
- 
                Employer- KTH Royal Institute of Technology
- Chalmers University of Technology
- Umeå University
- Lunds universitet
- Uppsala universitet
- Chalmers tekniska högskola
- Linköping University
- SciLifeLab
- Luleå University of Technology
- Umeå universitet
- Karolinska Institutet (KI)
- Linköpings universitet
- Blekinge Institute of Technology
- University of Lund
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg
- Linköpings University
- Malmö universitet
- Nature Careers
- Stockholms universitet
- Swedish University of Agricultural Sciences
- Örebro University
- 11 more »
- « less
 
- 
                Field
- 
                
                
                , adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. More about WASP (wasp-sweden.org). The primary duties of the doctoral student positions 
- 
                
                
                of biotechnology and sensor devices. Finally, the synthetic systems we are developing can be used to mimic biological processes, such as transport of proteins through the membrane surrounding the cell nucleus. By 
- 
                
                
                comprehensive analysis of complex imaging mass spectrometry datasets (e.g., MALDI-MSI, DESI-MSI) using established computational frameworks Develop and implement novel algorithms and visual analytics for spatial 
- 
                
                
                integrated sensor arrays. The project combines several different concepts: Progress in understanding insect neurobiology that provides proven circuit designs to solve significant problems such as autonomous 
- 
                
                
                -series modeling (EEG, video, sensor data) and chemical/structural data representation (e.g. graphs, SMILES strings, molecular embeddings). Familiarity with multimodal representation learning and 
- 
                
                
                properties. In this project, we will apply machine learning and optimization algorithms in order to achieve the design of such nanophotonic structures. As a postdoc you will be part of the Condensed Matter and 
- 
                
                
                apply machine learning and optimization algorithms in order to achieve the design of such nanophotonic structures. As a postdoc you will be part of the Condensed Matter and Materials Theory division, a 
- 
                
                
                analysis of complex, longitudinal, and high-dimensional data (e.g., immunometabolic profiles, clinical data, biomarkers). Development and application of predictive models and algorithms for diagnostics 
- 
                
                
                from manufacturing sensors and XR headsets (video, audio, motion). This includes building multimodal AI pipelines, generating procedural representations, and contributing to the integration of real-time 
- 
                
                
                of insects for more than a decade, both in terms of engineering field deployable sensors and also in terms of fundamental understanding of light interaction with free flying insects. We now aim to push