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(alexander.huck@fysik.dtu.dk ). You can read more about the Department of Physics at https://physics.dtu.dk/ . If you are applying from abroad, you may find useful information on working in Denmark and at DTU
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at the top venues of machine learning research. Responsibilities and qualifications You should have prior experience with machine learning from both a theoretical and practical perspective. Experience in one
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characterized by more favorable citizen attitudes. The project develops new theoretical concepts and empirical measures, using a novel sequential research design that integrates observational data, large-scale
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for research in wireless communication, microwave engineering, and applied AI. Our research combines strong theoretical expertise with unique experimental facilities, including advanced RF laboratories
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Education (Psyche), which: Brings together diverse perspectives: humanistic, educational, socio-cultural, personality and existential psychology Has a strong emphasis on interdisciplinarity and theoretical
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development, and computational algorithms A solid understanding of theoretical chemistry and solvation models such as COSMO The ability to work independently as well as collaboratively within a
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drive towards achieving groundbreaking results, love physics discussions and participating in thoughtful conversations, make things work and deliver! Further requirements and qualifications We require
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: Conceptualisation and theoretical development of spatiotemporal optimisation of biodiversity dynamics during recovery. Synthesising and modelling and species pools and biodiversity patterns given different