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4‑year PhD position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and
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. Simulated sensor data from a digital shadow will be incorporated to maintain cyber-physical consistency between the UAVs’ status in the model and in the real world. A key goal is to develop methods
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engineering (e.g., software architecture, development processes, quality assurance). Very good programming skills (at least in Python and C++); ideally strong hands-on experience with ROS2. Experience in AI
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on the analysis and simulation of nonlinear partial differential equations arising in the context of interacting species study of interaction systems with applications to developmental biology, such as pattern
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of Europe’s biggest research centers and help us to shape change! Are you excited about working at the interface of natural and computer sciences? At the Institute of Bio- and Geosciences (IBG
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. Requirements: university degree (master or diploma) in chemistry or physics and profound knowledge in computational and theoretical physics/chemistry A sound knowledge of simulation methods and actinide
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mineral and metal-bearing raw materials more efficiently and to recycle them in an environmentally friendly way. The Group Geometallurgy and Particle Based Process Modelling is looking for a PhD Student (f
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THE FIELDS OF: ATMOSPHERIC PHYSICS AND CHEMISTRY, ELECTROCHEMISTRY, ELECTROCHEMICAL ENERGY STORAGE (BATTERIES), ELECTRONICS, ELECTRICAL AND MECHANICAL ENGINEERING, HIGH-PERFORMANCE COMPUTING, MACHINE LEARNING
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-voltage PPU that shall power the E-Sail electron emitter, sail and associated devices. The E-Sail electron gun needs a power-processing-unit to provide the required voltages and currents. As a start
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, medical image reconstruction principles and experience with high-performance computer simulations in physics would be beneficial Experience in working with medical imaging data, especially with PET, and