12 phd-in-architecture-landscape-built-environment Postdoctoral positions at Linköping University
Sort by
Refine Your Search
-
the kinetics of enzymatic polymerization processes in biological environments. Expand and tailor enzyme repertoires to optimize functionality and electrode performance. Collaborate within a multidisciplinary and
-
taken into consideration. A suitable candidate will have a PhD in sociology, computer science, economics, statistics, political science or a corresponding subject of relevance to computational social
-
researchers, including professors, senior and junior scientists, fellow postdocs and PhD students. Our collaborative environment is multidisciplinary, fostering creativity and innovation. ( http://liu.se/loe
-
PhD students. Our collaborative environment is multidisciplinary, fostering creativity and innovation. ( http://liu.se/loe ) You will work within the Electronic Plants group, led by Senior Associate
-
leading researchers in Sweden and Italy ✅ Contribute to next-gen neural interfaces with real-world impact ✅ Be part of a collaborative, inclusive, and interdisciplinary environment We’re looking for a
-
channels and ion channels carrying disease-associated mutations. Qualifications We are looking for someone with a PhD degree in medical sciences or similar. Good knowledge in electrophysiology, ion channel
-
reasons for having an older doctoral degree – such as taking statutory leave – then these may be taken into consideration. We are looking for a candidate who completed their PhD dissertation between 1 and 3
-
research project (e.g. PhD in physical chemistry, chemical physics, computational chemistry or relevant) and needs to be passionate about research. Experience in usage Gaussian, ADF, Dalton, ORCA etc
-
into consideration. The applicant must have, or be about to receive, a doctoral degree in a subject relevant to the research project (e.g. PhD in physical chemistry, chemical physics, computational chemistry or
-
may be taken into consideration. A suitable candidate will have a PhD in computer science, statistics, sociology, economics, political science or a corresponding subject of relevance to computational