Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- University of Lund
- SciLifeLab
- Lunds universitet
- Linköping University
- KTH Royal Institute of Technology
- Umeå University
- Uppsala universitet
- Blekinge Institute of Technology
- Nature Careers
- Umeå universitet
- Umeå universitet stipendiemodul
- Jönköping University
- Karlstad University
- Karolinska Institutet (KI)
- Lulea University of Technology
- University of Borås
- KTH
- Linköpings universitet
- Stockholms universitet
- Sveriges Lantbruksuniversitet
- Örebro University
- Faculty of Technology and Society
- Göteborgs Universitet
- Högskolan Väst
- IFM, Linköping University
- IFM/Linköping University
- Institutionen för molekylära vetenskaper
- Linnéuniversitetet
- Luleå University of Technology
- Luleå tekniska universitet
- Lund University
- Malmö university
- Mid Sweden University
- Mälardalen University
- SciCross
- SciLifeLab / Uppsala University
- Swedish University of Agricultural Sciences
- The Institute of Clinical Sciences
- Umea University
- 30 more »
- « less
-
Field
-
assays, complemented by mass-spectrometry-driven chemical profiling and machine-learning-supported multivariate analysis. Where relevant, CRISPR-Cas-based genetic perturbations in mammalian cell models
-
-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models for complex data, including temporal data
-
education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Computing Science at Umeå University is looking for a doctoral student in machine learning
-
Job related to staff position within a Research Infrastructure? No Offer Description Description of the workplace The position will be placed in the Division for Computer Vision and Machine Learning
-
Jönköping University and School of Engineering invites applications for a Lecturer in Computer Science with a focus on data science and machine learning. This position offers opportunities
-
intersection of machine learning and life sciences, developing next-generation models that improve our understanding of human biology and enable more proactive, personalized healthcare. As an Industrial PhD
-
applying machine learning and computational methods for protein design, in close integration with experimental enzymology and biocatalysis. The tasks include: Development and application of AI and machine
-
representations Analysis of structure–function relationships between morphology and movement Modelling genome–phenotype relationships using machine learning and genomic language models The project offers a unique
-
are united in our efforts to understand, explain and improve our world and the human condition. Description of the workplace The position will be placed in the Division for Computer Vision and Machine Learning
-
is linked to the ELLIIT project New Machine-Learning Methods for High-Dimensional, Population-Scale Health Data , conducted in collaboration with Lund University. The project aims to develop and apply