46 master-"https:" "https:" "https:" "https:" positions at Lunds universitet in Sweden
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
such as the heart and nervous system, invariably with fatal consequences. The project will focus on probing the molecular factors underlying this instability (see for example https://www.nature.com/articles
-
. The project is carried out in collaboration with Skåne University Hospital (SUS), and the Nordic Lymphoma Group. Work duties The main duties of doctoral students are to devote themselves to their research
-
-induced processes in materials. Work duties The main duties are to carry out ultrafast laser spectroscopy studies of light harvesting materials with special emphasis in chiral materials. 50 % of the work
-
(e.g. odours or visual landmarks). How these cues are sensed and integrated is still poorly understood, especially in nocturnal migratory insects. Work duties The main duties involved in a post-doctoral
-
: https://www.ses.lu.se/forskning/samhallsnara-forskning/management-organisering-arbete/forskningsprojekt-hallbart-chefskap-invanarnas-basta The doctoral student will be part of the national Graduate School
-
trial. Work duties The main duties of doctoral students are to devote themselves to their research studies which includes participating in research projects and third cycle courses. The work duties will
-
opportunities with experimental groups in atomic physics at Lund University, within attosecond physics and quantum information (e.g., Prof. Anne L’Huillier and Prof. Stefan Kröll). For more information: https
-
doctoral degree. More about being a doctoral student at LTH on lth.se. https://www.lth.se/english/study-at-lth/phd-studies/ Subject and project description ELLIIT (https://elliit.se ) is a strategic research
-
the health and MedTech sectors, and beyond. For more information about the total announced post-doctoral positions within in the AMBER co-fund project please visit https://www.euraxess.se/jobs/392999
-
. The primary objective is to develop computational methods, using deep learning–based protein design, for the successful design of 2D lattices. These methods will then be applied to generate designs targeted