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with respect to R&D work related to TS coatings. The core focus of the group's research revolves around unravelling the fundamental correlations between process parameters, coating microstructure, and
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the field of multi-modal data analysis and generation, integrating computer vision, natural language processing (NLP), and machine learning to enable innovative interactions with unmanned aerial vehicles
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in a stepwise manner by the application of simple rules which are discrete in nature. This project under the leadership of Professor Frank Drewes aims to integrate neural methods of computation, and
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Specific entry requirements to be admitted to Energy and Environmental Engineering are met if a person has a degree (or equivalent studies) at advanced level in an engineering or natural sciences area
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part of the ongoing transition. An excellent proficiency in both spoken and written English and Swedish is an advantage. Your workplace As a PhD-student you will be part of the Division of Energy Systems
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doctoral education. The PhD position is linked to Section 1 at the Faculty of Odontology (Oral Biology and Pathology) with collaboration within Section 2 (Maxillofacial Surgery and Materials Science and
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knowledge in another way. You are expected to have very good communication skills in English, both spoken and written. In order to succeed as a doctoral student, you need to be goal oriented and persevering
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world. We look forward to receiving your application! We are looking for a PhD student in AI and autonomous systems with a focus on Vision-Language-Action (VLA) Models to control multiple heterogenous
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group using DNA sequencing and other microbial characterizations to describe and understand process in industrial water contexts. In addition to the specific nature of this researcher project, we work
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, Attacks, and Defenses”. Your work assignments Large language model (LLM) agents represent the next generation of artificial intelligence (AI) systems, integrating LLMs with external tools and memory