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that paradigm and explores negative ion mode LC-MS/MS to reveal new molecular insights and enable broader biological discovery This PhD position is part of a vibrant research environment involving other
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for the study of quantum quenches. Who are we looking for? We are looking for a candidate who must hold a master degree in theoretical physics and have a strong background in quantum field theory and holography
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collaboration that covers all aspects of our research: theory and modeling, sample growth and fabrication, experiments and demonstrations. We have created a dynamic research environment of young and senior
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qualitative research as an integrated whole, where methods, theory, and empirical work mutually enrich each other Brings together diverse perspectives: humanistic, educational, socio-cultural, and existential
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methods, theory, and empirical work mutually enrich each other Brings together diverse perspectives: humanistic, educational, socio-cultural, and existential psychology Actively contributes to public
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, optimization, control, game theory, and machine learning. Interdisciplinary by design: Work at the intersection of energy systems and markets, privacy and cybersecurity, forecasting, optimization, control, game
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Job Description The Loft Group at the Functional Genomics & Metabolism Research Unit, Department of Biochemistry and Molecular Biology, University of Southern Denmark, invite applications from
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computer science, mathematics, or a related field will be considered an asset. The position requires the ability to work independently as well as in collaboration with colleagues in a dynamic and international
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Mathematical, Probabilistic and Engineering principles and methods. Familiarity with offshore engineering and wave-wind theories is advantageous. Experience in coding (e.g., Python) and in the use of Structural
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of the nonlinear structural performance utilizing reliable and computationally efficient numerical structural models. To support the condition (state) assessment, you will also explore the use of advanced estimators