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period of 12 months in the first instance, with potential to extend. The project involves advanced theory for new ultrafast imaging experiments and is funded by Engineering and Physical Sciences Research
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on the scientific potential/achievement of the candidates, technical experience/expertise in developing an imaging data-processing pipeline would be highly desirable. We are especially interested in candidates
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models related to modern data management challenges (e.g., query feasibility, data correlations, probabilistic evaluation, scalability). Prototype and evaluate data system components or extensions
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Position: Postdoctoral Researcher in Vision-Language-Action Models and Physically Informed Neural Networks for Surgical Robotics Publication date: 30.09.2025 Closing date: 29.10.2025 Level of education: PhD
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variety of relevant biological systems. We are looking for a candidate, who • Holds a Master’s degree and a PhD in physics, biophysics, physical chemistry or a related field • Has several years
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solar (thermal and PV) and geothermal energy with soil-based thermal storage to enable reliable 24/7 operation of adsorption desalination. We also develop low-cost sorption composites from locally
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mathematics, data science and machine learning for image recognition. Moreover, you will develop methods and software that will allow new characterization of nanoscale materials. Therefore, your research will
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engineering-based research applicable to cardiovascular disease as part of an extramurally funded project. The successful applicant will create computational models from medical imaging data and run simulations
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objective of this project is to compare the modern philosophy of Bildung and the contemporary paradigm of the Learning Society (LS) by systematically analyzing their homological structures. Through
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comprises three PhD students and is supported by one technician, along with rotating students. The lab is located in the Biomedicine Department at the Faculty of Medicine (Campus Clinic) of the University