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Project (PhD Position) – Quantum-Classical Co-Simulation Framework Development for Neurobiological Systems Your Job: The overarching goal is to implement a code for multiscale quantum mechanics / molecular
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smart technologies in the bioeconomy, agricultural, food and environmental policy impact analysis, and/or production efficiency and food markets. leading to an internationally competitive PhD degree and
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of the PhD topic (subproject A7- Reinforcement learning for mode choice decisions): This PhD project will develop and implement a Deep Reinforcement Learning (DRL) model for dynamic mode choice within
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learning and data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms
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Description Who We Are: The Cutsail research group at Ludwig-Maximilians-Universität (LMU) Munich is seeking a highly motivated PhD student / research assistant for full-time, on-site work in the
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of Physics by means of various spectroscopy schemes and also at Q.ANT in their gyroscope/magnetometer labs. With this thesis, the PhD student will acquire broad knowledge on state-of-the-art laser technology
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PhD subjects, high interdisciplinary desire to learn and willingness to cooperate, very good verbal and written English communication skills. What we offer: Pioneering Research Environment: Shape
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subsurface leaching into groundwater within agricultural systems experience in statistical analysis of research results or willingness to acquire such as well as to complete a PhD degree self-motivated
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mineral and metal-bearing raw materials more efficiently and to recycle them in an environmentally friendly way. The Department of Modelling and Evaluation is looking for a PhD Student (f/m/d) to work in
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collection programs (e.g. R, fomr) Very good English and German skills (or willingness to acquire them) Interest in media communication We offer Part of a young and dynamic Emmy Noether Research Group Diverse