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assembly of foldamers often lack the mechanical properties required for their optimal performance as biomedical devices. Polymers have recently emerged as a promising class of materials for biomedical
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resources, price services, manage risk, optimize asset portfolios, and develop new revenue models. Yet the financial impacts of AI remain poorly understood, and companies face substantial uncertainty when
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the flexibility to change the transmit waveform and signal processing units on the fly. Personnel at SPARC have contributed to several seminal papers, book chapters, and books in the fields of waveform optimization
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quantum effects can be harnessed to process information with improved energetic efficiency (see, e.g., arXiv:2408:06418 ). Optimization of thermodynamic protocols: Design thermal machines that exploit
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; Modeling (using Gromacs and LAMMPS software packages and MARTINI-like upscaling) the filler-matrix interfaces to optimize thermal transport, e.g., by functionalization of the nanofiller surface; Simulate and
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PhD research will focus on characterizing and optimizing architectured fabrics and textiles using 3D micro tomography as a main tool to investigate tribological and thermal properties of different
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are looking for talented people to join us. Your responsibilities include: MI Project IE2501 “Safe Hydrogen Networks: ML-Supported Safety Analysis and Optimized Sensor Placement” Research in the field of safety
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) Good knowledge of AI frameworks like TensorFlow, PyTorch, Keras Good to have: Scientific publications Experience with ML models and methods (CNNs, LLMs, Transformers, GNNs) We offer: An optimal research
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will also be responsible for the optimization of the diagnostics performance as well as their structural integrity Furthermore, the candidate will contribute to the design and simulation of systems
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knowledge and understanding in pyrolysis processes we are looking for a PhD student for scientific analysis, investigations and optimization of hydrogen production via methane pyrolysis for decarbonization