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require new mathematical machinery. LOGSMS will combine diverse tools from discrete mathematics, learning theory and machine learning, thus facilitating the design and analysis of such models. PhD position
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require new mathematical machinery. LOGSMS will combine diverse tools from discrete mathematics, learning theory and machine learning, thus facilitating the design and analysis of such models. PhD position
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during high-shear processing and enable their controlled and targeted release to significantly boost the long-term durability and functionality of next-generation rubber composites. The successful
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hybrid AI (combining machine learning, feature-based modelling, and classical OR); Designing intelligent release, workload control and material planning methods that stabilize flow, improve on-time
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vision currently rely on massive datasets and brute-force scaling. This leads to high data requirements, hidden biases, limited accessibility, and dependency on corporate-controlled resources. ReVision
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to study neuronal network activity under controlled metabolic stress. This platform enables systematic investigation of how neurons transition between reversible and irreversible dysfunction and allows
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. They will collaborate closely with 25 partners from government organizations, research institutes, nature organizations and industry. Within the SOURCE program, your project aims to unravel controlling cross
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embedded system design to drive neuroprosthetic innovation, we encourage you to apply. Stretch feedback plays a key role in motor control, and its disruption—such as after stroke, spinal cord injury, or in
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for manufacturing large structures such as fuselage and wing panels. Reliable process control is critical: underheating leads to poor bonding, while overheating causes polymer degradation. At the heart of process