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education to enable regions to expand quickly and sustainably. In fact, the future is made here. Umeå University is offering a PhD student position in Computer Science with a focus on visual language
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Project Description: Large Language Models (LLMs) like GPT-4 have demonstrated remarkable abilities in a variety of healthcare tasks, including diagnosis, patient management, and treatment planning
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16 May 2025 Financing yes Type of Position Full PhD Working Language English German Required Degree Bachelor Master Areas of study Applied Computer Science, Bioinformatics, Software Engineering
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Deadline 16 May 2025 Financing yes Type of Position Full PhD Working Language English German Required Degree Bachelor Master Areas of study Applied Computer Science, Bioinformatics, Software Engineering
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Qualification: The candidate should possess a MSc. Degree or equivalent in Engineering, Computer Science, or related fields. Experience: The ideal candidate should have some knowledge and experience
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careers in the language sciences. Our education and training program involves both core and individually chosen coursework to complement the PhD research, and training in soft skills such as writing and
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program. It is a testament to his desire to support Hellenic studies and research for and by students enrolled in Greek Studies at La Trobe University. As an applicant, you should have an interest in Greek
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Jun 2025 Financing yes Type of Position Full PhD Working Language English German Required Degree Master Areas of study Automation Technology, Mechatronics, Robotics, Systems Engineering, Applied
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University of Denmark, Lyngby, Denmark. The PhD programme A three year full-time study within the framework of the regular PhD programme (5+3 scheme), if you already have an education equivalent to a relevant
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
Transformers are central to many of today’s most successful AI models, from language understanding to computer vision. Yet, their success remains largely empirical, with limited theoretical understanding