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tentatively entitled “Optimal e-bus charging infrastructure and fleet management considering Vehicle-to-Grid (V2G) connectivity, local renewable energy and dynamic pricing”, and will address “to what extent V2G
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and tentatively entitled "Optimal e-bus charging infrastructure and fleet management considering Vehicle-to-Grid (V2G) connectivity, local renewable energy and dynamic pricing", and will address
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, the Optimized AI team focuses on computing techniques to scale up a wide range of AI approaches and drive the SW-HW-Technology co-optimization. We analyze and implement AI models and software architectures while
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-tuning, multimodality, MLOps, and model management. Ability to optimize AI models under energy and memory constraints. Experience applying AI across diverse domains (health, mobility, cybersecurity, energy
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, implementing, and solving complex optimization problems (e.g. linear, nonlinear, mixed-integer, or multi-objective optimization) Experience in energy management of renewable energy sources coupled with energy
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and image data processing. Specific knowledge related to neural network design, training, and optimization is required. You will be joining a group with core expertise in sensor data analytics from
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of Clinical Medicine, University of Oslo and Oslo University Hospital Radiumhospitalet, from April 2026 to February 2027. Project description The project involves validation of new T-cell receptor-based
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cancer therapeutics. Experience in cell-based therapeutics is preferred. The Postdoc will develop and optimize novel dendritic cell and T cell therapies against cancers using sophisticated immunogenomic
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Advanced Detector R&D The High Energy Physics Group at Purdue University invites applications for a Postdoctoral Research Associate to join an interdisciplinary research program at the intersection of data
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will develop novel ligands for a validated drug target in acute myeloid leukemia. Building on our promising preliminary results, you will optimize and expand the hit discovery using computer-aided tools