-
character, with an active role in the education of Nutrition in Karolinska Institutet. The doctoral student project and the duties of the doctoral student We are looking for a PhD candidate in nutrition and
-
for doctoral/third-cycle/PhD education if you: have been awarded a second-cycle/advanced/master qualification (i.e. master degree), or have satisfied the requirements for courses comprising at least 240 credits
-
PhD-level and masters-level statisticians, and doctoral students. The group is involved in a wide variety of research projects, including the development of statistical methods, population-based cohort
-
launched with the recruitment of 20 academic and 7 industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS
-
of four years of full-time doctoral education is required. The research group The PhD student will be working in the Stina Wickström/Rolf Kiessling research group under the main supervision of Stina
-
requirement for doctoral/third-cycle/PhD education if you: have been awarded a second-cycle/advanced/master qualification (i.e. master degree), or have satisfied the requirements for courses comprising at least
-
geneticists, psychologists, psychiatrists, and statisticians. The group is based at the Department of Medical Epidemiology and Biostatistics, where the the Phd student will also work. The doctoral student
-
) General eligibility requirement You meet the general eligibility requirement for doctoral/third-cycle/PhD education if you: have been awarded a second-cycle/advanced/master qualification (i.e. master degree
-
You meet the general eligibility requirement for doctoral/third-cycle/PhD education if you: have been awarded a second-cycle/advanced/master qualification (i.e. master degree), or have satisfied
-
phenotypes. In this PhD you will address this by a deep learning model of drug responses in cancer. The PhD position focuses on predicting cell type-specific drug responses, identifying transcriptional