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setup will allow the exploration of global flow structures, large-scale recirculation, and the transition to the fully heterogeneous regime under realistic industrial conditions. In parallel, smaller
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protein allowable milk with the least amount of feed and animal inputs under feeding and management conditions in India. • Integrate the feed chemistry data being developed in a parallel project. • Travel
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several projects in parallel Ability to work collaboratively in a team as well as independently on a wide variety of research projects Excellent communication skills Detail-oriented, focused, and highly
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distortions in the presence of a shallow crustal hydrothermal system at a model caldera volcano. The model will use the phase field approach and be implemented in Alya, the parallel multi-physics Computation
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skills in general and a taste for meticulousness are essential. In parallel, interest for soft matter concepts and modelling will be of help to interpret the data. Experience in data analysis (including
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, massively parallel genomic/proteomic/clinical]. Data management and analysis solutions that aid in the storage, investigation, and dissemination of large data sets. Independent research projects, including
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SPEAR Centre: PhD in ‘Long-Range, High Bandwidth Distributed Acoustic Sensing for Fibre Optic Links’
or chirped waveforms, optical frequency comb–based parallel interrogation, and coherent multi-heterodyne detection. The student will collaborate with researchers in the Photonic Systems Group to design and
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educational development at KI SÖS. Parallel to the educational duties, you are expected to conduct and develop research in internal medicine, with a particular focus on pulmonary medicine. The research is
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engineering Very strong mathematical and algorithmic background Programming experience (Python, C++, etc.) Familiarity with parallel programming frameworks (e.g. MPI, CUDA) Fluent in written and spoken English
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, for example: Large‑scale optimization and machine learning: Stochastic and/or (non‑)convex optimization methods, first‑order methods, variance reduction, distributed and parallel optimization, federated