Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
instrumentation into next-generation research facilities. Your responsibilities Working closely with scientists and engineers, you will Operate and optimize advanced UHV systems Develop and improve crystal growth
-
techniques (PINNs, Scientific ML, data-driven optimization, etc) to surpass traditional techniques for discovery, design and optimization of thermal technologies, seeking necessary experimental validation
-
, optimization, and improved decision-making in various industries like manufacturing, construction, and urban planning. Secure collaboration facilities in the DTaaS platform allows co-creation of products and
-
while maintaining computational efficiency through lower-fidelity simulation of non-critical regions, (ii) virtual sensing techniques for load and stress estimation from limited and optimally placed
-
, deterministic systems. You model them, you optimize them, you operate them. That paradigm is breaking down. As electricity replaces fossil fuels, industrial systems must operate under fundamentally new conditions
-
commissioning commencing in 2027. The candidate will participate in the commissioning, testing, and optimization of the beamline. SINCRYS is built for SCXRD studies of small-unit-cell systems commonly encountered
-
candidate will support experimental work related to biogas production, biomass characterization, and process optimization. Tasks will include laboratory-scale anaerobic digestion experiments, analytical
-
perception, optimization, or control will be an advantage. The candidate should be comfortable with scientific programming, for example in Python and common machine-learning frameworks such as PyTorch
-
overall focus will be to strengthen the department’s expertise in closing the building “performance gap” through data-driven building operation optimization and system innovation. You will bridge advanced
-
perception, optimization, or control will be an advantage. The candidate should be comfortable with scientific programming, for example in Python and common machine-learning frameworks such as PyTorch