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version control and containerization (Docker/Singularity) Statistical Modeling: Quantitative data analysis using GLMs, Bayesian methods, or mixed-effect models to interpret complex perturbation datasets
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diagnostics, as well as general computer vision applications including autonomously guided vehicles (particularly self-driving cars), image-based localization, structure-from-motion, and object recognition
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about the diverse physical and geometric properties of objects and dynamic changes in the environment. This involves leveraging rich sensory data—such as vision and touch—encoding knowledge from
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partner or with another humanoid robot to solve a spatial problem (e.g. 3D puzzle, fold a paper). The tasks to be carried out are: (i) scene understanding: detection of objects and relations between objects
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doctoral student who has Competence and skills: -Strong foundation in computer vision (e.g., object detection, image segmentation) and NLP (e.g., text reasoning, language models). -Knowledge of generative AI
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-from-motion, and object recognition. The main research problems include mathematical theory, algorithms, and machine learning (deep learning) for inverse problems in artificial intelligence, as
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”. To succeed on the ambitious objectives of the European Growth Model, the European moulded fibre products (MFP) industry must have access to a new generation of innovative, entrepreneurial, and highly skilled
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objectives of the European Growth Model, the European moulded fibre products (MFP) industry must have access to a new generation of innovative, entrepreneurial, and highly skilled research-oriented cross
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services, and enhance human well-being. However, realizing these objectives requires policy frameworks that are able to connect goals under the law with diverse needs and values of rural land owners and
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will explore techniques to secure these systems against novel network-level attacks. Key research objectives include the development of secure communication protocols, the analysis of vulnerabilities in