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including following its curriculum. The graduate school within WASP is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence
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thermodynamics and elasticity. The theoretical challenge is to develop a machine learned interatomic potential based approach in exploring the vibrational degrees of freedom (phonons). The research is supported by
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a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20
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within WASP is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous systems and software. Through an ambitious
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of the materials will allow you to explore high-temperature thermodynamics and elasticity. The theoretical challenge is to develop a machine learned interatomic potential based approach in exploring the vibrational
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at elevated temperature. As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up
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, you will develop computational approaches to analyze and predict protein structures, incorporating experimental data to enhance our models. A key component of this project is utilizing AI, particularly
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assignments We are focused on understanding biomolecular structures, their dynamics, and ensembles at the molecular level. As part of our team, you will develop computational approaches to analyze and predict