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slowdown at the glass transition, remains a major computational challenge. This Doctoral student project addresses this by combining generative AI models and machine-learned interatomic potentials
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and equal opportunities are essential to quality and form an integral part of KTH’s core values as a university and public authority. Learn more about our benefits and what it's like to work and grow
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and equal opportunities are essential to quality and form an integral part of KTH’s core values as a university and public authority. Learn more about our benefits and what it's like to work and grow
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to quality and form an integral part of KTH’s core values as a university and public authority. Learn more about our benefits and what it's like to work and grow at KTH Trade union representatives Contact
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learning. The purpose of the position is to develop the independence as a researcher and to create the opportunity of further development. The postdoctoral position is proposed around the following project
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school for excellence in Arctic and Antarctic Learning (SEAL) , which offers an internationally competitive, interdisciplinary research and training environment with access to unique infrastructure, field
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at the start of employment, they are expected to acquire Swedish to a functional level within two years Experience working in EU-funded projects is considered an advantage Managerial experience with both staff
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year. You should have knowledge and experience in bridging quantum and classical machine learning, and be fluent in English, both written and spoken. Assesment criteria Qualifications that are considered
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/InstituteSchool of Electrical Engineering ans Computer ScienceCountrySwedenState/ProvinceStockholmCityStockholmPostal Code10044StreetBrinellvägen 8Geofield Contact City Stockholm Website https://www.kth.se/en
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learn new techniques, and strong time management skills. Strong collaboration and communication skills. Meritorious for the position are: Proven ability to collaborate with researchers from different