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be used to address the following questions: What are the mechanisms of embolization of the lung? Can we predict where thrombi end up? What are the optimal drug infusion protocols for efficiently
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systems for discovering new concepts, experiments and ideas in physics. To accelerate this effort, we need your help! We have several fully-funded open PhD and Post-Doc positions (m/f) A list of concrete
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Supervised/unsupervised fine tuning of the existing models (e.g., Retrieval-Augmented Generation, Low-Rank Adaptation, Direct Preference Optimization, Reinforcement Learning from Human/AI Feedback). Moreover
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Description The aim of this research is to enhance the durability and fire resistance of veneer-based wood products by developing and optimizing a sustainable wood densification process. The study seeks
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student aims to investigate how specific fission products can be removed from molten salt. The emphasis will be on understanding and optimizing the removal process, where physical transport phenomena play a
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optimization of single-phase LCL filter inductors taking into account dynamic hysteresis models for different magnetic core materials. Supervisor: Prof. Paavo Rasilo (Electromechanics) Secondments: Université
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from the physics institute of Humboldt-Universität zu Berlin. Your responsibilities Development of QCLs (active regions) emitting in the range from 2 to 5 THz Optimization of resonator structures
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superstructures. Optimize NPL ligand shell structure in collaboration with TU Dresden to improve optical performance of NPL superstructures. Extend existing single-particle photophysical models of NPLs
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development of implements for managing main and support crops in the field, tested on stationary gantry robots and mobile platforms. Work includes lightweight, structurally optimized mechanical design, sensor
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support each other. This necessitates a multidisciplinary approach bringing together optimization, machine learning and behavioral modeling methodologies. In the FlexMobility project we propose a holistic