Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- KTH Royal Institute of Technology
- SciLifeLab
- Chalmers University of Technology
- Lunds universitet
- Chalmers tekniska högskola
- Linköping University
- Umeå University
- Uppsala universitet
- University of Lund
- Karolinska Institutet (KI)
- Umeå universitet
- Blekinge Institute of Technology
- Linköpings universitet
- Stockholms universitet
- Luleå University of Technology
- Nature Careers
- Karlstads universitet
- Umeå universitet stipendiemodul
- Karlstad University
- Linkopings universitet
- Linneuniversitetet
- Lulea University of Technology
- Malmö universitet
- Mälardalen University
- The University of Gothenburg
- University of Borås
- University of Gothenburg
- chalmers tekniska högskola
- Örebro University
- Chalmers Tekniska Högskola
- Chalmers Tekniska Högskola AB
- Chalmers tekniska högskola AB
- Department of Chemistry and Molecular Biology, University of Gothenburg
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg
- Institutionen för biomedicinsk vetenskap
- Kungliga Tekniska högskolan
- Linköping university
- Linköpings University
- Linnaeus University
- Luleå tekniska universitet
- Lund University
- NORDITA-Nordic Institute for Theoretical Physics
- School of Business, Society and Engineering
- Stockholm University
- Sveriges Lantrbruksuniversitet
- Swedish University of Agricultural Sciences
- 36 more »
- « less
-
Field
-
learning, bioinformatics or advanced statistical methods, to help explore molecular, imaging, clinical and/or epidemiological data. You will apply, adapt and develop machine learning approaches to provide
-
applying deep learning and/or machine learning models to medical imaging data. Other information This is a permanent position, 100 % of full time. Starting date in October 2025 or according to agreement. How
-
advanced biostatistics/machine learning analyses, but also with other types of analysis. The work involves supporting Swedish researchers under a “user fee-based” support model. The projects will differ in
-
machines. Enzymes are very important for various applications in bioprocessing technology. A better understanding of how they operate, obtained by studying them one by one, can improve various areas
-
advising on methods and systems, assessing quality and properties of data, assisting with resource allocation proposals, machine learning workflows, dataset curation, organization, and sharing, data
-
across different occupations in the Swedish labor market. The tasks involve collaborating with our researchers to process occupational classifications, harmonize census data, develop machine learning
-
innovative development and application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. More specifically, at NRM this research will be
-
of research? Find more reasons why Lund University and the HT Faculties is right for you here , and learn more about Working in Lund , Moving to Lund and Living in Lund . QualificationsQualification
-
experience with Python Knowledge of energy systems analysis and modelling, AI and machine learning for data analysis. Experience with the modelling tool OSeMOSYS for energy and CLEWs application Awareness
-
of the identified structures via stereolithographic, 3D printing and textile techniques like tufting, machine-based embroidery techniques or non-interlaced 3D pre-forming. Development of advanced imaging and