Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
experience in areas such as advanced image analysis, data structuring and data integration, and large language models (LLMs) with applications in biological and biomedical research. The successful candidate´s
-
development, high-throughput data analysis, and working with large population-based cohorts and clinical biobanks. The student will learn how to scientifically assess the study quality, perform appropriate
-
involves data sources from large population-based cohort, national registry-based cohort, and clinical imaging cohort. The student will learn how to conduct high-quality epidemiological studies including
-
data with computational modeling Programming skills in Python, R, or another relevant language. Interest in machine learning, statistical modeling, structural bioinformatics, or analysis of large-scale
-
infrastructures that supports large-scale data and hypothesis-driven research in the field of molecular biosciences. SciLifeLab (www.scilifelab.se ) operates nationally, engaging all major Universities of Sweden
-
of molecular networks in cancer to advance precision medicine. By integrating high-throughput data (e.g. transcriptomics, proteomics, metabolomics) with prior knowledge of molecular interactions, we construct
-
by developing data-driven approaches to identify and prioritize isoform-specific therapeutic targets, enabling a new level of precision in RNA-based treatments. The project will combine large-scale
-
information The Department of Plant Physiology at Umeå University is part of the Umeå Plant Science Centre (UPSC; www.upsc.se), an internationally leading research environment with approximately 200 researchers
-
the qualification requirements, great emphasis will be placed on personal skills. Target degree: Doctoral degree Information regarding admission and employment Only those admitted to postgraduate education may be
-
Information regarding admission and employment Only those admitted to postgraduate education may be employed as a doctoral student. The total length of employment may not be longer than what corresponds to full