Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Linköping University
- Umeå University
- Chalmers University of Technology
- Lulea University of Technology
- SciLifeLab
- Stockholms universitet
- Sveriges lantbruksuniversitet
- Uppsala universitet
- Lunds universitet
- Swedish University of Agricultural Sciences
- Luleå University of Technology
- Mälardalen University
- Nature Careers
- Umeå universitet
- University of Gothenburg
- University of Lund
- Chalmers University of Techonology
- Fureho AB
- Institutionen för biomedicinsk vetenskap
- KTH Royal Institute of Technology
- Karolinska Institutet, doctoral positions
- Linkopings universitet
- Linköpings universitet
- Linnaeus University
- Malmö universitet
- Mid Sweden University
- School of Business, Society and Engineering
- Stockholm University
- 18 more »
- « less
-
Field
-
-studies/. Background and description of tasks PhD project 1: The PhD project involves research using invertebrate model systems to investigate the mechanisms by which potential host genome editing processes
-
essential tool for training and testing of AI models and control systems for robots and autonomous vehicles. In a digital environment, large amounts of annotated training data can be created safely and easily
-
essential tool for training and testing of AI models and control systems for robots and autonomous vehicles. In a digital environment, large amounts of annotated training data can be created safely and easily
-
and stakeholders with a hybrid ethnography that observes gangs’ presence and practices in both digital and physical spaces. The project is recruiting a PhD student who should possess the following
-
. Development of advanced imaging and characterization technologies (X-ray micro tomography, EPR imaging and spectroscopy) to evaluate performance of electrodes and to map electrolyte chemical composition in
-
for multimodal machine learning, combining large-scale image data with molecular profiling and clinical data. This includes, for instance, research on deep learning-based image analysis and data assimilation
-
and textile techniques like tufting, machine-based embroidery techniques or non-interlaced 3D pre-forming. Development of advanced imaging and characterization technologies (X-ray micro tomography, EPR
-
dynamics and heat transfer research. Programming skills in Python and MATLAB, particularly in machine learning, data analysis, and image processing. Experience working in Linux environments. Ability
-
, particularly related to data sharing between actors in the supply chain. This project will study how digital product passports (DPP), and ontology-based platforms for collecting and interpreting such data, can
-
a focus on visual language grounding, in other words, the linking of elements of natural language (words, phrases, or sentences) to visual inputs (such as images or video) in a meaningful way. The