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Dipartimento di Ingegneria dell'Informazione - Università degli studi di Padova | Italy | 3 months ago
. The proposed project aims to develop new techniques for observability analysis and distributed state estimation directly from data, even in the presence of noise, disturbances, and unmeasured inputs
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include developing algorithms for ultra-fast force feedback and providing open SDKs and APIs for developers. Your Responsibilities Requirements Analysis: Assist in gathering requirements and translating
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, networking, distributed systems, memory management, security, databases, and hardware integration Proficiency in C++ and C with strong object-oriented programming principles High-performance algorithm design
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Skills/Experience areas include: Strong computer science fundamentals: data structures, algorithms, networking, distributed systems, memory management, security, databases, and hardware integration
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implications for equity and access to justice. This position will support the development of a curriculum that critically examines law, technology, and inequality, including issues such as algorithmic bias
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collaboration that uses AI algorithms to recommend and coordinate experiments across distributed laboratories. Your work will focus on the synthesis and characterisation of AI-recommended conjugated materials
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. Understanding of object-oriented programming, data structures, algorithms, and software design practices. Development experience with Matlab, Python and C/C++ programming languages. ML/LLM models knowledge and
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. These differences introduce distribution shifts that can degrade model performance and reliability over time, particularly in “one-to-many” supervision settings where a single human operator oversees multiple agents
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platforms. Work in this area spans advanced control theory, real-time decision systems, distributed computing, verification and validation of autonomous behaviors, and the integration of human–machine teaming
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(e.g. Agentic Reinforcement Learning), evaluation, tool use, agentic harness, or retrieval-augmented systems. Internship/full-time experience from research, engineering, or algorithm-development roles in