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resource-constrained environments, and it is important to investigate whether features derived from different network layers can be effectively combined. Machine Learning Model Development & Optimization
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Your Job: You will join the "Electrocatalytic Interface Engineering" department, led by Prof. Dr.-Ing. Simon Thiele, and the "Membrane Polymer Synthesis" (MPS) team by Dr. Jochen Kerres
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and other stakeholders to gauge and optimize the ecological and bioeconomic consequences of North Sea OWF expansion. The announced PhD position focuses on foraging and life-cycle ecology of fish and
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/ Robust) Combinatorial Optimization, Game Theory, and Network Theory, as well as Artificial Intelligence. Potentially, scenarios could be simulated using agent-based, discrete-event, or other techniques
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of synthesized organic molecules, using NMR, MS and SC-XRD; scale-up of the synthesis of pyrrolizidine core; synthesis of analytical standards; rationale-based synthetic route design and reactions optimization
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models through specific activation functions. This project will be undertaken in collaboration with Dr Hemanth Saratchandran and Prof Simon Lucey of the Australian Institute for Machine Learning, and
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on building the next generation of quantum processors based on superconducting circuits. To achieve this ambitiuous goal, we have a variety of projects related to: Development and optimization of nano
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the renewable energy colleagues at IMT Elucidation of the dominant separation mechanisms, to achieve both fundamental understanding and optimized process performance The PhD project will be predominantly
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optimal operating conditions and followed by surface analysis techniques (e.g. Scanning electron microscope, X-ray diffraction for residual stress measurements, Electron Back-Scattered Diffraction and
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. You will join the teams of Dr. Markus Heinrich at the Institute for Theoretical Physics of the University of Cologne and of Prof. Matteo Rizzi at PGI-8 at the Forschungszentrum Jülich. You may consult