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to link real-world challenges to fundamental research questions. Desirables: Knowledge of battery digital twin. Knowledge of BESS thermal management design. Experience with artificial intelligence
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culture. The faculty provides education to 6,000 students and employs 700 staff. Education is organised into six programme clusters: Psychology; Artificial Intelligence; Pedagogical Sciences and Educational
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Job description Computation-in-Memory (CIM) is being investigated for energy-efficient artificial intelligence (AI) applications. However, this new computing paradigm faces various design challenges
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Job description Various emerging device technologies and computing paradigms are being investigated for energy-efficient artificial intelligence (AI) applications. Some examples are RRAM or STT-MRAM
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: sustainable aerospace, big data and artificial intelligence, bio-inspired engineering and smart instruments and systems. Working at the faculty means working together. With partners in other faculties
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, potentially in combination with artificial intelligence and high-performance computing (HPC) technologies. In particular, you will apply (hybrid) quantum computing solutions to EO use cases for which current
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, artificial intelligence or a governance solution to the housing crisis, contemporary issues are comprehensively addressed at FGGA. In the heart of The Hague, where important decisions are made, students and
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societal challenges that threaten us today, climate change without doubt being the most important. Our focal subjects: sustainable aerospace, big data and artificial intelligence, bio-inspired engineering
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on “Personalised healthy diets through data sciences and artificial intelligence”. Are you excited about the opportunities that data science in nutrition—especially the role of targeted metabolic modelling, machine
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lie in artificial intelligence, cheminformatics and computational genome and metabolome mining. Where to apply Website https://www.academictransfer.com/en/jobs/354644/postdoc-position-on-federated-l