Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Swedish University of Agricultural Sciences
- SciLifeLab
- Uppsala universitet
- Umeå University
- Linköping University
- University of Lund
- Lunds universitet
- Sveriges Lantbruksuniversitet
- Mid Sweden University
- Karolinska Institutet, doctoral positions
- Chalmers University of Technology
- Linköpings universitet
- Lulea University of Technology
- Luleå tekniska universitet
- University of Borås
- Blekinge Institute of Technology
- Luleå university of technology
- Mittuniversitetet
- Nature Careers
- Stockholms universitet
- Umeå universitet
- 11 more »
- « less
-
Field
-
: Work at Lund University Work assignments The PhD student will be responsible for the analysis of advanced 4D live-cell microscopy data, with a particular focus on identifying and characterizing rare
-
each year. You can find more information about us on the Department of Information Technology website . The project is led by Professor Joakim Lindblad, at the Centre for Image Analysis and the Vi3
-
Transformer-Based Foundation Model for DNA Methylation in Longitudinal Cohorts.” The focus is on developing next-generation AI models for the analysis of DNA methylation. Using longitudinal data from, among
-
(e.g., Snakemake, Nextflow) and reproducible data processing pipelines. Knowledge of transcriptomics and alternative splicing analysis, including isoform-level quantification tools. Programming skills in
-
22 Apr 2026 Job Information Organisation/Company Luleå tekniska universitet Research Field Engineering Researcher Profile First Stage Researcher (R1) Application Deadline 12 May 2026 - 12:00 (UTC
-
on the University website about being a Lund University employee: Work at Lund University Work assignments The PhD student will be responsible for the analysis of advanced 4D live-cell microscopy data
-
translating research findings into clinical diagnostics. The work includes analysis of genomic, transcriptomic, and DNA methylation data across different tumor subgroups, using both in-house and public cohorts
-
Development Design new statistical and machine learning models tailored to this emerging omics modality. Multimodal Data Analysis Work with high-dimensional datasets combining quantitative RNA features
-
. The applicant is expected to actively perform analysis of spatial transcriptomics and immune clone data, and present results to general and specialized audiences. The data-driven life science initiative Data
-
and training in data analysis, scientific communication, and collaborative research. About the position We are seeking a PhD student who will advance the understanding of chemical contaminants in food