22 professor-computer "https:" "https:" "https:" "https:" "https:" "Keele University" research jobs at University of Lund
Sort by
Refine Your Search
-
, numerical stability, and real-time data assimilation within reduced-order models. Primary application areas include computational physics and climate modeling. Qualification requirements Requirements are: A
-
the tools of computational biophysics. Our research group is highly interdisciplinary, using everything from quantum chemistry, conventional and enhanced sampling molecular dynamics simulations, generative AI
-
sciences, bedrock geology, paleontology, physical geography, biodiversity and ecosystem science, remote sensing, Geographic Information Science (GIS), and computational science for health and environment
-
difference! For further information, please visit: https://www.lunduniversity.lu.se/about-lund-university/work-lund-university www.sweden.se https://www.maxiv.lu.se/about-us/careers/compensation-benefits/
-
Description of the workplace The position will be placed at the division of Computer Vision and Machine Learning at the Centre for Mathematical Sciences. The Centre for Mathematical Sciences is an
-
of data collection and analysis. The position will be supervised by Emma Johansson, Associate Professor at the Lund University Centre for Sustainability Studies (LUCSUS), in collaboration with Elina
-
group – lead by professor Sophia Zackrisson – with a main research interest in innovative imaging modalities and methods in breast cancer diagnostics, focusing on screening and the role of Artificial
-
collection and analysis. The position will be supervised by Lennart Olsson, Professor at the Lund University Centre for Sustainability Studies (LUCSUS), in collaboration with Elina Andersson, Associate
-
, Professor of Islam and Society at SOAS , University of London. The project examines how state-led genetic healthcare policies intersect with religious and cultural practices in close-knit religious minority
-
. The postdoctoral scholar will take a leading role in the the BeeSYNC project, focusing specifically on: Computational Natural History. The researcher will develop deep learning models to predict individual bee age