Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- SciLifeLab
- Lunds universitet
- Swedish University of Agricultural Sciences
- Stockholm University
- KTH Royal Institute of Technology
- University of Lund
- Chalmers University of Technology
- KTH
- Lund University
- Chalmers tekniska högskola
- Karolinska Institutet (KI)
- The Royal Institute of Technology (KTH)
- Chalmers Tekniska Högskola
- Chalmers University of Techonology
- Epishine
- Fureho AB
- Karlstad University
- Karolinska Institutet, doctoral positions
- Lulea University of Technology
- Luleå University of Technology
- NORDITA-Nordic Institute for Theoretical Physics
- Nature Careers
- Stockholms universitet
- Umeå University
- Umeå universitet
- University of Gothenburg
- Uppsala universitet
- 17 more »
- « less
-
Field
-
(Wallenberg Scholar and recipient of awards from ERC, SSF, VR, WASP, Google, Amazon, Facebook, and OpenAI, as well as the Chalmers PhD Supervisor of the Year award). Information about the department
-
mapping of metabolites, lipids, and proteins Ensure that data handling complies with FAIR (Findable, Accessible, Interoperable, Reusable) principles, including metadata standardization and long-term data
-
patterns of genomic sequences, with applications ranging from biogeographical mapping to paleogenetic reconstructions. The candidate will work jointly with Dr. Eran Elhaik to design machine-learning models
-
characterization technologies (X-ray micro tomography, EPR imaging and spectroscopy) to evaluate performance of electrodes and to map electrolyte chemical composition in micrometer resolution, allowing validation
-
problem statement, but the path forward is yours to define. Think of it as us giving you a map and a compass—it's your responsibility to chart the course and navigate the journey. The project also includes
-
advantageous occupational pension scheme. Read more on the University website about being a Lund University employee: Work at Lund University Work assignments The proposed PhD project will first map the antibody
-
lead the integration of a rich portfolio of breast‑cancer datasets, including spatial transcriptomics and spatial epigenomics maps, single‑cell RNA‑seq and ATAC‑seq profiles, high‑resolution whole‑slide
-
signals reshape the spatial organization of proteins in human adipocytes and how these changes regulate lipid metabolism. Using human adipocyte models, the student will first generate global maps of hormone
-
. Your work will focus on one or more of the following areas: Counterdata mapping: using AI-assisted methods to identify and visualize structural absences in datasets related to marginalized communities
-
tetramers, BCR/TCR sequencing, single-cell multi-omics (RNA/ATAC/CITE/TCR-seq), and functional assays to map antiviral responses at high resolution. This project will be carried out as a close collaboration