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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
professors and a dynamic team of PhD students and postdocs working in areas such as wireless and optical communication, information security, information theory, and machine learning. At the department, we
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senior researchers, three postdocs and three PhD students. It is embedded in an interdisciplinary environment where we have close collaboration with other research teams at Chalmers such as technology
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Technology Laboratory (QTL) division of the Microtechnology and Nanoscience (MC2) department, working in a large team of PhDs, postdocs and researchers. About the research We are seeking PhD students to work
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Effective use of AI and AI agents requires high quality data. This research is concerned with studying what data companies should collect, how they should process it, where to store it and how
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Are you passionate about advancing sustainable mobility solutions? Do you enjoy working at the intersection of artificial intelligence, optimization, and energy management? We invite applications
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technology, Biochemical engineering, Biochemistry, Sustainable production & utilization of marine bioresources, or similar. Equivalent requirements apply to individuals with an education earned outside
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disciplines Excellent written and spoken English Experience with optimal control theory and methods Contract terms The position is regarded as a full-time employment with a competitive monthly salary and full
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, collaborative, and analytical. What you will do Take courses at an advanced level within the Graduate school of Computer Science and Engineering Develop your own scientific concepts and communicate the results
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confirming your English proficiency: e.g. TOEFL/IELTS test results, a course/project report written in English (if your bachelor’s/master’s thesis is not in English). Use the button at the foot of the page
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of the project, great interpersonal skills and a collaborative mindset are important. What you will do Take courses at an advanced level within the Graduate School of Microtechnology and Nanoscience Develop your