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Field
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: Experience in matrix hydrodynamics and Zeitlin's model for the simulation of 2-D turbulence. What you will do Supervise master’s and/or PhD students to a certain extent Possibility to engage in teaching at
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a Research Infrastructure? No Offer Description Join us to pioneer next-generation generative models that accelerate molecular dynamics. We seek a postdoctoral researcher to develop AI surrogates
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consists of three pillars: material characterization (mineralogical and particle analyses), unit operations (such as comminution and separation processes), as well as system engineering approaches (modeling
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. Research topics include: Development and validation of DORIS data processing and modeling Implementation of improved models for DORIS satellites and ground systems Cross-analysis of DORIS and other geodetic
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well as system engineering approaches (modeling and simulation, geometallurgy). Experimental work (with processing of ore and mineral) is carried out in our well-equipped mineral processing laboratory with access
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profile We are looking for a highly motivated candidate with a PhD degree in molecular biology, plant genetics, plant cell biology or related topics. Proven expertise in plant pathology and plant-microbe
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machine learning models in simple, standalone devices that are capable of advanced processing. Building on our work on solution-based neuromorphic classifiers (https://doi.org/10.1002/advs.202207023
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checks. Both parts are meant to support data-driven computational modeling for applications in epidemics. For a further description of the proposed project, see this document. The Department
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pathogen work, but has its own research area in bacteria-fungal interactions, where Rhizobium species are of particular interest. Your profile We are looking for a highly motivated candidate with a PhD
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a new approach to high-frequency electromagnetic (georadar or controlled-source electromagnetic CSEM) data modelling based on full wave 3D inversion to expand our competence in the characterisation