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are looking for a passionate PhD candidate in Thermal Energy Systems with strong programming, optimization, and dynamic analysis of energy systems. This position is on the Horizon Europe-funded project
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DTU Tenure Track Researcher in X-Ray Nano-Computed Tomography for Dynamic Processes in Geological...
an experimental approach for the study of subsurface processes via in-situ nano-CT. The major focus is on geological chalk matrices and the dynamic processes occurring during CO2 injection for storage
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ambitions for an academic research career, then you might be our new colleague in our research section ‘Dynamical Systems’ at DTU Compute, where we offer a vibrant and inspiring research community in
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collaborators. We offer an exciting PhD program in a dynamic, high-performing, international environment with dedicated, friendly colleagues. We also offer superb opportunities for personal and professional
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into the Sections of Materials durability and Indoor environment. We offer creative and stimulating working conditions in a dynamic and international research environment, with recently renovated laboratory
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breast cancer metastasis. Cancer Cell 38(3):412-423.e9. Papachristou et al., 2018. A quantitative mass spectrometry-based approach to monitor the dynamics of endogenous chromatin-associated protein
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aggregation starts and propagates via phase separated condensates — by developing dynamic, life-like experimental frameworks in test-tubes. The research also aims to challenge existing decades-old kinetic and
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digital twin capabilities to all respective levels of the manufacturing system, combining machine learning, decision-making, and optimisation with Digital Twins. This should allow systems to dynamically
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is amongst the international leading entities in technology entrepreneurship and helps develop an entrepreneurial culture across DTU. As part of a dynamic and evolving ecosystem, we combine practice
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functional theory and ab-initio molecular dynamics simulations) with artificial intelligence techniques to parameterize machine learning force fields and kinetic Monte Carlo methods to model the molten salt