Sort by
Refine Your Search
-
Listed
-
Employer
- Umeå University
- Chalmers University of Technology
- Swedish University of Agricultural Sciences
- University of Lund
- Linköping University
- Lunds universitet
- SciLifeLab
- University of Gothenburg
- KTH Royal Institute of Technology
- Lulea University of Technology
- Nature Careers
- Göteborgs Universitet
- Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg
- Karolinska Institutet (KI)
- Karolinska Institutet, doctoral positions
- Linnaeus University
- Sahlgrenska Academy, University of Gothenburg
- Göteborg Universitet
- Higher Education Institute
- Institute of Medicine, Sahlgrenska Academy, University of Gothenburg
- Karlstad University
- Linneuniversitetet
- Stockholms universitet
- The Institute of Clinical Sciences
- Umeå universitet
- Umeå universitet stipendiemodul
- University of Gothenburg, Department of Education, Communication and Learning
- Uppsala universitet
- Örebro University
- 19 more »
- « less
-
Field
-
sequencing, and bioinformatics analysis of data from large-scale sequencing, including single-cell sequencing data. DNA and RNA extraction, PCR, cell culture, and working with experimental animal models
-
preparation of samples for high-throughput sequencing. Proven experience coordinating and processing large numbers of environmental samples, with strong attention to quality control, documentation, and data
-
efficient data handling within the unit. Duties Your responsibilities will include: Designing, developing, and maintaining open-source systems for processing and analyzing large-scale genomics data. Managing
-
15 Feb 2026 Job Information Organisation/Company Lunds universitet Department Lund University, MAX IV, SMS Research Field Physics Researcher Profile First Stage Researcher (R1) Application Deadline
-
Are you passionate about cybersecurity and interested in securing large-scale IoT and industrial systems that underpin critical infrastructure and everyday services, with a focus on detecting
-
convolutional neural networks (CNNs), recurrent neural networks, large language models (LLMs), or large reasoning models (LRMs), are designed to respond at inference phase to user-provided inputs with meaningful
-
breast cancer risk prediction models to support individualized screening. Data will be drawn from the Malmö-Breast ImaginG database and linked with additional transcriptomic and clinical datasets. Data
-
including researchers in archaeology, anthropology, genetics, evolution, biodiversity and more, as well as to e.g. museum staff and contract archaeologists. The interest for the unit’s services is large and
-
levels, from measurement data from large quantum computers Connect the characterization methods and strategies you develop to theoretical modelling and design work for large quantum computers, and to
-
. The duties also include big data analysis and processing, statistical evaluation, writing scientific manuscripts in English, and disseminating the results. Qualifications: Applicants shall hold a MSc in