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Field
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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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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
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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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cancer (SCLC). As part of the EU-funded MIPrecise network (Marie Skłodowska-Curie Actions Doctoral Network), you will develop and apply advanced mass spectrometry and nano–liquid handling workflows
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engineering and wave-wind theories is advantageous Experience in coding (e.g., Python) and in the use of Structural Analysis Software (e.g., OpenSees, Abaqus) is highly desirable Ability to work independently
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students to work on theory of polaritons and light–matter interactions, and in particular topics related to Mie-resonant photonics, electron-beam spectroscopies, chiral polaritons, nonlinear optics, quantum
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the public sector. The scholarship is part of the collaborative research project “Valuing invisible work: Efficiency and digitalization projects in practice” funded by DFF. The project has a special focus on
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of our research: theory and modeling, sample growth and fabrication, experiments and demonstrations. We have created a dynamic research environment of young and senior scientists aimed at excellent science