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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 3 months ago
learning approaches for automated photo-identification of aerial imagery. Photo-ID data will be used to analyse site-fidelity to feeding grounds and migratory connections to lower latitude breeding grounds
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processing, algorithm design, optimisation and simulation, software engineering and automation and control systems. An overview of the current PhD research projects is given here: https://www.dashh.org
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with biological data; practical experience is a plus Willingness to learn and ability to think outside the box Independent and responsible way of working Excellent command of written and spoken English A
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doctorate Your qualifications: Successfully completed university degree (diploma/master's) in energy and process engineering, chemical engineering or comparable In-depth knowledge of nonlinear, robust control
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strategy, the processing of sensor data (laserscans, images, pressure, etc.), as well as the reactive control of robotic arms. In order to apply for this position, the candidate should possess in-depth
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Description of the above-mentioned funding opportunities within the university The HPI Research Schools annually grant new full scholarships to PhD candidates and postdocs. Scholarship holders enjoy
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offers the opportunity to be involved in fruitful national collaborations. In this exciting job you can expect: to develop automated workflows for descriptor based microstructure reconstruction to identify
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to study grid stability, fault propagation, and recovery dynamics. Analyzing control and protection strategies using high-resolution time-domain models. Developing dynamic models for grid-forming and grid
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technologies. At HPI, you benefit from close supervision by experienced professors and postdocs, cutting-edge research facilities, and a collaborative academic network, e.g. with the University of Cape Town (UCT
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digital technologies. At HPI, you benefit from close supervision by experienced professors and postdocs, cutting-edge research facilities, and a collaborative academic network, e.g. with the University