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learning simulations - Growth of metallic heterostructures by sputtering / ALD - Optical and e-beam lithography - Ion beam and reactive etching - Fabrication of skyrmion based nano-devices - Electrical
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conferences. • Contribute to the writing of scientific publications. Optional : • Design Machine Learning (ML) potentials. • Code in FORTRAN and PYTHON to improve the functionality of the global
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of axion production in dense media, with a particular emphasis on gamma-ray signatures, gravitational waves, and multi-messenger observables. Qualifications: Applicants should have: a PhD in physics or
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of Research ExperienceNone Additional Information Eligibility criteria Education - PhD in education, cognitive psychology, occupational psychology/ergonomics, educational technology, or a related field. - Dual
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; • The names and contact information for two referees; • A CV including a list of publications and the date of the PhD defense; • Transcripts and diplomas showing completion of the bachelor's and master's and
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Research FieldTechnologyYears of Research Experience1 - 4 Additional Information Eligibility criteria The candidates must have a PhD in astrophysics or closely related disciplines, preferably with a strong
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FieldChemistry » Computational chemistryYears of Research Experience1 - 4 Additional Information Eligibility criteria - PhD in (nano)materials or chemistry. - Previous experience in synthesizing hollow fiber
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of Research ExperienceNone Research FieldChemistry » Computational chemistryYears of Research ExperienceNone Additional Information Eligibility criteria - PhD in theoretical physics (condensed matter or quantum
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on studying the principles of neural computation through recurrent neural networks, dynamical systems theory, and machine learning. - Develop mathematical and computational models of neural networks - Analyze
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collaboration between the Exa-SofT and the Exa-DI projects and better support multi-linear algebra and tensor contractions in exascale CSE applications and Machine Learning. As part of the collaborative process