Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Technical University of Munich
- Nature Careers
- UNIVERSITY OF HELSINKI
- University of Newcastle
- University of Utah
- ;
- AALTO UNIVERSITY
- KINGS COLLEGE LONDON
- Purdue University
- Universite de Moncton
- University of Cambridge
- University of Tübingen
- ; University of Cambridge
- Aalborg University
- Brookhaven Lab
- CNRS
- CSIRO
- Ghent University
- Heraeus Covantics
- IMEC
- Imperial College London
- Lulea University of Technology
- National Renewable Energy Laboratory NREL
- REQUIMTE - Rede de Quimica e Tecnologia
- The University of Iowa
- UNIVERSIDAD POLITECNICA DE MADRID
- University of Alabama, Tuscaloosa
- University of Cambridge;
- University of Florida
- University of Louisville
- University of Maryland, Baltimore
- University of Massachusetts Medical School
- VU Amsterdam
- 23 more »
- « less
-
Field
-
collaborative efforts among researchers at the University of Utah and UC San Diego in developing and applying methods in predictive and causal modeling of complex biomedical and social processes and systems
-
of bespoke probabilistic models and/or evolutionary simulations, robust knowledge of and an affinity towards mathematical, computational or probabilistic modeling are important. Further skills in modeling and
-
modelling and simulation of transmission and distribution networks, including benchmarking data models, developing optimal power flow algorithms, and creating state estimation and multi-energy optimisation
-
are linked to research on composite hydrogen tanks, composite propellers for drones and finite element modelling of textile manufacturing. All research will be conducted with leading companies in
-
, which will be used to implement high frequency and high efficiency IVRs for HPC applications. Objectives:-Fabrication, characterization and modeling of the composite magnetic materials.-Modeling
-
to the development of deep learning methods to predict reaction outcomes and optimal reaction conditions for organic reactions. The work will involve model development using Python and/or other programming languages
-
measurements in a team of experts on and in the pyramids and creating digital object models with numerical simulations, for example, using Salvus software or similar. Publication of research results and
-
on these materials, which will be used to implement high frequency and high efficiency IVRs for HPC applications. Objectives:-Fabrication, characterization and modeling of the composite magnetic materials.-Modeling
-
. Development of DT information modelling, data fusion, and forecasting guidelines and standards, and technology maturity benchmarks to derive cloud platform maturity level standards. Lead on the development
-
the project “Modeling Great Ape Signaling Behavior” under the auspices of the Collaborative Research Center “Common Ground” (CRC1718), which is funded by the German Research Foundation (DFG), at the University