Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
advanced modeling and simulation methods than those used in current structural design. There is a potential of significant reduction in material used in large building designs. This leads to reduced CO2
-
methods such as interviews, participant observation and focus groups in line with the REGEL project plan (the plan can be provided on request). Analyse such data through theories and concepts from Science
-
addition to performing a taxonomic classification in the classical context. It will also require a broader array of machine learning methods in performing feature selection, clustering, regression and classification
-
interdisciplinary center with joint efforts in theory, computer simulations and experiments, both in fundamental and in more applied directions. The center works to advance the understanding of porous media by
-
to which, institutional frameworks shape planning performance and sustainable urban development outcomes. This will involve the adoption of an interdisciplinary approach and the incorporation of methods and
-
criteria Experience with large C++ code bases Experience with MLIR and/or LLVM frameworks Experience with Precision Tuning and/or other approximate computing methods Experience with one or more heterogeneity
-
complex operational environments. Focus will be given to methods that can derive useful engineering information for the continuously updated digital twins using mechanical response data and environmental
-
Development of novel feed/food Relevant analytical methods Knowledge of a Scandinavian language Personal qualities: We are looking for a candidate who is ambitious, curious, motivated and able to work in a
-
with contactless sensor which can be integrated into existing data acquisition system enabling to monitor propulsion health as well as estimating remaining useful life (RUL). This PhD project is
-
experience that qualifies you for a further career in higher education and research, in and outside academia. The research focus of this position will be in probabilistic methods for Generative AI. We aim