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of data scientists, software engineers, and experimental researchers on topics including: Developing multi-scale and multi-modal representation learning methods for scientific imaging data (e.g., SEM
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journals Your Profile: A Master’s degree (or equivalent) in chemistry, physics, meteorology, atmospheric sciences, environmental sciences, or related fields Strong interest in experimental atmospheric
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processes that produce energy and raw materials. The Department of Reactive Transport is looking for a PhD Student (f/m/d) Experimental analysis of the sorption kinetics for radionuclides on sheet silicates
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of the IMPRS reflects the development of molecular genetics into an information science, based on the plethora of experimental data that are nowadays available and steadily being produced about cellular
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PhD Working Language English Required Degree Master Areas of study Physics, Experimental Physics, Nanotechnology, Nanosciences, Theoretical Physics Description Description The Center for NanoScience
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communication systems for AI-driven applications. The objective is to investigate, design, and experimentally validate information-theoretically secure coding schemes tailored to the demanding requirements
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the initial stage, you will synthesise ring polymers using anionic polymerisation techniques. You will also develop new linking chemistries and purification processes. The physics part of the project will focus
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talk under mechanical loading inbetween those two groups to provide insights into the process of ageing in bone and the downstream consequences for mechanotransduction. Your tasks: Conduct experimental
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partner from data sciences provides data management and AI based Image analysis, an internal experimental group, and an internal simulation-sciences group (You+Supervisor+support by lab
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. Correlated experimental, ab initio and multi-scale techniques are central to our mission: Development and application of advanced simulation techniques to explore and identify the fundamental structures and