Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
Forensic Medicine for medical students, as well as for Tumor biology courses for biomedicine students and Pathology courses for opticians. Do you want to contribute to improving human health? The laboratory
-
Research Council. The future of life science is data-driven. Will you be part of that change? Then join us in this unique program! The research group Data-driven life science (DDLS) uses data, computational
-
of four years of full-time doctoral education is required. The Department of Medical Epidemiology and Biostatistics conducts research in epidemiology and biostatistics across a broad range of areas within
-
education and undergraduate education for medical and biomedical students. The research has three main profiles: allergy, cardiovascular medicine and inflammatory diseases. The research group The studies will
-
cells, aiming to enhance treatment efficacy and contribute with new discoveries in cancer biology. Our models cover metabolism, signaling, and gene regulation, and we train them on extensive high
-
particular within digital pathology environments. Proven ability in cross-disciplinary collaboration, particularly with computer science and medical researchers. Strong programming skills are required, with
-
of the doctoral student At the Department of Medical Epidemiology and Biostatistics at Karolinska Institutet, we are looking to fill the position as PhD student in data-driven life science. Data-driven precision
-
for medical research with outstanding research infrastructure. The doctoral student project and the duties of the doctoral student The project is part of an ERC starting grant and focuses on the identification
-
of four years of full-time doctoral education is required. The Department of Medical Epidemiology and Biostatistics conducts research in epidemiology and biostatistics across a broad range of areas within
-
increasing the understanding of cancer biology at the proteome level. This enables the development of novel therapeutic strategies as well as the identification of biomarkers with predictive, prognostic and