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the development and application of probabilistic inference methods and machine learning techniques for quantitative uncertainty modeling and for the integration of heterogeneous climate data
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usable in continuum-scale soil and plant-water models Contribute to the development and documentation of reusable, open, and reproducible molecular simulation workflows Collaborate with researchers working
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position is the development of novel machine learning methods for modeling molecular properties, in particular regression models for bi-molecular properties. The research is embedded in the thematic context
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compounds, etc. The project will focus on the i) development of membrane filtration systems and operation with novel nanofiltration membranes, ii) examination of the physical/chemical processes inside
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Student (f/m/d) in Quantum Algorithms for Droplet and Bubble Oscillation Dynamics Modelling. Your tasks Development and implementation of numerical and algorithmic methods for the simulation of fluid
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of inorganic ions and organic matter can cause defects in electrolyser stacks, resulting in costly process disruptions. This project considers: i) development of analytical methods for the quantification
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gas/solid interfaces. The project is embedded into interdisciplinary and international cooperations involving partner groups from natural science and engineering ( https://www.sfb1452.research.fau.eu
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looking for a PhD Student (f/m/d) Development of the degradable environmental and bio-sensors, subject to final approval by the project sponsor. Your tasks Development of the project tasks and milestones
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with upcoming tasks and (on‑site) appointments VACATION: You will receive 30 days of vacation KNOWLEDGE & DEVELOPMENT: Your professional development is important to us – we support you specifically and
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start? Have a first look of what it’s like working at ICE-2: https://go.fzj.de/ice-2 We are offering an interesting PhD Position – Techno-economic assessment of geothermal plants with material co