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The Chiu Lab (https://chiu-lab.org/ ) focuses on developing state-of-the-art multimodal AI models for cancer research. Our recent publications have been recognized by both the cancer research and
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influence of pulsed or continuous currents on PPBs during flash sintering. Finite Element modeling using the Abaqus software and a multiphysics framework will be employed to quantify the processes occurring
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Current large language models (LLMs), despite being
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA DELL'ENERGIA ELETTRICA E DELL'INFORMAZIONE "GUGLIELMO MARCONI" | Italy | 4 days ago
, of diagnostic and prognostic techniques based on hybrid approaches (physical models and learning), with semi-automated modeling and statistical parameter adaptation. - Design and programming of data acquisition
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, Microbiology, or Biochemistry International publication activity in a current field of biological stress response, preferably relevant to aging and cell death research Expertise in working with the model
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genes in plants, and modeling the evolution of transcriptional systems in silico . We are currently looking for a talented postdoc to join our team in the context of a project funded by the Research
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Number req25733 Department UAHS Brain Science Department Website Link https://cibs.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights The laboratory of Dr. Meagan McManus in
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plants, and modeling the evolution of transcriptional systems in silico. We are currently looking for a talented postdoc to join our team in the context of a project funded by the Research Foundation
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); and (ii) integrating surrogate models that emulate MPC-driven operational outcomes, allowing GridForge to select topology sets minimizing total cost while guaranteeing fast-dynamics stability and
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Description: Accurate battery State of Health (SOH) estimation is vital for electric vehicle safety and longevity. Current models often fail to balance accuracy with computational efficiency. Collaborating with