53 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" positions at University of Bergen
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
interdisciplinary collaboration between the Department of Mathematics and the Department of Physics and Technology. The project includes three main activities: (i) the development of novel simulation techniques, (ii
-
explore two essential enzymes involved in fatty acid synthesis in Gram-negative bacteria, with particular focus on Pseudomonas aeruginosa. We will use a structure-based approach to develop potent inhibitors
-
part of the conceptual framework of DARKLAX, locating the Chilean South as the locus of global forces. Work tasksand responsibilities: The researcher’s role is to develop two visual essays/documentaries
-
to develop practical management tools. SEAClim will provide detailed predictions and projections of decadal-to-multidecadal changes in marine environments focusing on the North Atlantic. TipESM will explore
-
tasks: Project Design and Planning: Develop and refine the PhD project scope, including objectives, methodology, and detailed plans for data collection and analysis Data Collection and Quality Control
-
to generate original content, improve innovation processes and reshape entire creative and industrial sectors. These developments challenges traditional concepts of authorship and inventorship and raise complex
-
project “ComDisp: Community-Centered Modeling of Housing-Related Health Disparities.” ComDisp develops a grassroots modeling framework to predict health disparities under different climate change scenarios
-
is part of the Norwegian Research Council funded Center for Sustainable Subsurface Resources (CSSR). About the project/work tasks: The successful candidate will contribute to the development and
-
/work tasks: The position is part of the Belmont Forum project “ComDisp: Community-Centered Modeling of Housing-Related Health Disparities.” ComDisp develops a grassroots modeling framework to predict
-
, wearable and nearable sensor data, continuous glucose monitoring data, self-reported data, and multi-omics analysis to develop predictive models for steroid hormone disorders, particularly adrenal