Sort by
Refine Your Search
-
, computer science, computational biology and computational statistics. More information about us, please visit: Department of Mathematics . Project description We seek to recruit a PhD student for the following
-
up of external funding. The staff amounts to approximately 345 employees, out of which 100 are PhD-students, and there are in total more than 700 affiliated people. Feel free to read more about the
-
. General information about the PhD programs can be given by the Professor and Director of Doctoral Studies, Andreas Barth, andreas.barth@dbb.su.se . Application Apply for the PhD student position
-
on the web page Assessing equivalent knowledge for general eligibility for doctoral education. B) Specific eligibility requirement You meet the specific eligibility requirement for doctoral/third-cycle/PhD
-
be expanded with the recruitment of 19 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
-
Are you passionate about applying computational approaches to solve problems in biomedicine? We are now looking for an Industrial PhD student in Data-Driven Life Sciences to work on a cutting-edge
-
computational and data science capabilities in Swedish life sciences. DDLS is establishing a research school for 260 PhDs in academia and industry. The aim is to educate highly skilled and competent professionals
-
international with English being the working language. See the Larena lab web-pages for more information and recent publications: https://www.larenalab.com Duties The PhD research project will focus on population
-
up of external funding. The staff amounts to approximately 345 employees, out of which 100 are PhD-students, and there are in total more than 700 affiliated people. Feel free to read more about the
-
data for the mentioned large-scale studies. Requirements To meet the entry requirements for doctoral studies, you must – hold a Master’s (second-cycle) degree in an area relevant to the PHD topic (see