Sort by
Refine Your Search
-
Category
-
Country
-
Employer
-
Field
-
Mathjobs.org | 24 days ago
discovery: AI-assisted simulation, surrogate modeling, inverse learning problems, automated scientific discovery, generative approaches for science, and data-driven discovery of mathematical or physical
-
discovery: AI-assisted simulation, surrogate modeling, inverse learning problems, automated scientific discovery, generative approaches for science, and data-driven discovery of mathematical or physical
-
King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 17 hours ago
based on deep learning to accelerate the physics simulation for membrane relevant processes, which can be based on physics-informed neural network, data-driven models, and hybrid simulation models
-
. Ransell D'Souza at the Department of Chemistry and Materials Science, Aalto University, and the Data-driven Atomistic Simulation (DAS) group, led by Prof. Miguel Caro at the Department of Chemistry and
-
-enabled practices into truly data-driven ways of working, where engineering design, simulation, AI, digital twins, manufacturing systems, communication infrastructure and decision support are connected to
-
. Discipline(s): Chemistry and Materials Sciences ( 12 ) Communications and Graphics Design ( 2 ) Computer, Information, and Data Sciences ( 17 ) Earth and Geosciences ( 21 ) Engineering ( 29 ) Environmental
-
and Materials Sciences ( 12 ) Communications and Graphics Design ( 2 ) Computer, Information, and Data Sciences ( 17 ) Earth and Geosciences ( 21 ) Engineering ( 29 ) Environmental and Marine Sciences
-
position requires mobility, including the ability to move materials weighing up to several pounds (such as a laptop computer or tablet). Persons with disabilities may be able to perform the essential
-
National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 1 month ago
and Materials Sciences ( 12 ) Communications and Graphics Design ( 2 ) Computer, Information, and Data Sciences ( 17 ) Earth and Geosciences ( 21 ) Engineering ( 29 ) Environmental and Marine Sciences
-
, knowledge of and skills in: Ph.D. in Materials Science, Physics, or a closely related discipline. Research experience in dislocation modeling and simulation. Proficiency in machine learning