25 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"St" positions at University of Lund
Sort by
Refine Your Search
-
to developing novel in-situ experiments; experience in research exploiting laboratory/synchrotron X-ray methods; experience in developing computer algorithms in Python, Matlab or an equivalent language relevant
-
programs and courses at the undergraduate, advanced, and research levels. The social work program has approximately 1,200 students and is offered in parallel at the Lund and Helsingborg campuses. Duties and
-
assistants are needed for the following courses: ETIN35 IC-Project 1, study period 3 and 4 EITA15 Digital Systems, study period 3 and 4 (Helsingborg) EITF70 Computer Organization EITA60 Computer Communication
-
offers a number of programs and courses at the undergraduate, advanced, and postgraduate levels. The social work program has approximately 1,200 students and is offered at both Lund and Helsingborg
-
several industrial and academic partners. The candidate will work with high-performance computing resources (NAISS) and advanced CFD tools, primarily OpenFOAM, with the possibility to use Nek5000 or LBM
-
computing infrastructure. A publication record in international peer-reviewed journals. Knowledge of phage biology, with a particular focus on anti-phage defense systems. Proficiency in spoken and written
-
neurorobotics, cognitive robotics and computational neuroscience. What we offer As Assistant Professor at Lund University, you will develop your qualifications as a researcher and teaching staff member over a
-
doctoral programme, which includes participation in research projects as well as third cycle courses, seminars and conferences. During your doctoral studies, you will have the unique opportunity to work
-
Studies (CMES) coordinates the Strategic Research Area (SRA) “The Middle East in the Contemporary World” (MECW). The research program consists of four research themes: 1) Environment and sustainable
-
senior researchers and doctoral students. Current research areas within the Department of Mathematical Statistics include stochastic models, statistical theory and computational statistics, probability