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applications of various sensors and actuators; solid mathematical foundation; priority will be given to those with experience in developing industrial-grade control algorithms, signal processing algorithms
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. vision–language and multimodal models) often perform well during training but degrade after deployment due to changes in data, environment, sensors, or user behaviour. The goal of this PhD is to design
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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
of natural resources. Our research and development activities focus on the synergistic use, processing, and interpretation of data from multiple complementary active and passive sensors installed on both space
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us. II. Positions and Requirements Position 1: Scientist in Intelligent Biobreeding Algorithm Responsibilities: Lead the formation and direction of an interdisciplinary team to integrate AI
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collaboration by proposing an original hybrid rule-driven/data driven approach to artificial intelligence and by studying efficient optimization algorithms. The team focus on robotic applications like environment
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their applicability in real-time and embedded scenarios subject to tight latency and energy constraints Tay et al. (2020). Event-based vision sensors offer an alternative sensing paradigm that naturally addresses some
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the Computer Vision Lab, equipped with state-of-the-art visual sensors and acquisition systems, along with the Zero-G Lab, a unique facility designed to emulate proximity operations under space-like conditions
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-term R&D strategy aligned with national-security missions. Ideal candidates will be integrative and creative, applying new methodologies in quantum information R&D, software, algorithms, specialty
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detection, to cite a few. As telecom fibers are ubiquitous in urban environments, DAS appears as a breakthrough concept to upgrade existing fiber optic networks to acoustic sensor arrays, and a key component