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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
, you’ll also join WASP —Sweden’s largest individual research program ever, offering unparalleled resources, networking and career opportunities. Be part of shaping the future of AI! Project overview
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for the PhD program at Chalmers. Participating in departmental duties, primarily teaching and supervising undergraduate students. Your profile We are seeking candidates with the following qualifications
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models. Experience in analyzing CFD data and interpreting simulation results. Excellent command of written and spoken English. Experience writing scientific reports and presenting research findings
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algorithms is meritorious, as is a documented track record of research in the area of the project. The department's working language is English, and the position requires sound verbal and written communication
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society. With unique research expertise, we offer education at the undergraduate and graduate levels, as well as within our international master's programs. The Electronics Materials and Systems Laboratory
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that hosts, e.g., the Nordic ALMA Regional Center node, and is the SKA center for Sweden. The fusion research activities are aligned with the integrated European fusion research programme implemented by
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nutrition and status data Experience of analyzing antinutritional factors in plant foods The position requires excellent verbal and written communication skills in English. Swedish is not a requirement but
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Technology (Maria Taljegård). Main responsibilities Plan and perform research under the guidance of supervisors Apply and develop energy- and environmental systems assessment methods and tools Collect and
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and verbal communication skills in English Experience in some of the following areas is meritorious: group theory, statistics, neural networks, machine learning and programming. Evidence of problem
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aim to develop a predictive model identifying advanced HF patients at high mortality risk within a year. Additionally, we plan an intuitive interface, utilizing large language models to communicate