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Review, update, and consolidate methodologies, including Bayesian methodologies, in the context of material balance evaluation Your Profile: PhD in applied mathematics, computer science, physics, or in
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Correct), Bayesian statistics, systems theory and artificial intelligence are to be used as a basis in order to explore and implement a continuous calculation chain starting from observable and controllable
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on two core but complementary areas: Computer vision and sensor data analysis, applied to tasks such as object detection in drone images (e.g., pest or disease detection), object tracking (e.g. leaves
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culturing, integrating multiple automated subsystems with image-based machine learning models. Our objective is to enable robotic decision-making through machine learning, paving the way for a standardized
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required. Very good English skills, both written and spoken, are also required. The successful applicant has a proven track record of excellent publications. Strong taxonomic knowledge in marine
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reliability of R-Mode, particularly under varying environmental conditions. Key objectives include understanding the physical processes that affect R-Mode signal propagation, quantifying the variability
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Generations. Your tasks The selected candidate will be part of the Minerva Fast Track Research Group led by Dr. Irene Domenici. The group will explore the role of constitutional and public law in safeguarding
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in scope? Critically assessing the added value of 3D-based generative modelling compared to 2D-based approaches Tailored reward functions towards specific design objectives Dynamically incorporating
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development efforts for ERGOM. The primary objective of this position is to generate high-resolution seagrass distribution maps for the Baltic Sea, achieving a spatial resolution of approximately 1 nautical
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, El Colegio de Mexico, the Universidad Nacional Autonoma de Mexico, and the Centro de Investigaciones y Estudios Superiores en Antropologia Social in Mexico City. Objectives: The IRTG aims at developing