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the system to learn optimal adjustment policies directly from interaction with the physical infrastructure. Anomaly detection and fault diagnosis. The candidate will develop a multi-level diagnostic framework
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of data-based technologies and IoT in Smart Farming systems. The main tasks include: 1) operations optimization (logistics, route planning, supply-chain management); 2) the application of remote sensing
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closely related field, with a strong background in AI/ML technologies, including algorithm development, optimization, and data-driven modeling. Candidates are expected to demonstrate research leadership
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an externally funded, interdisciplinary research group in insect nutrition and production, engaging national and international collaborators. Lead research on nutrient requirements to optimize
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focus on development and advancement of data-based technologies and IoT in Smart Farming systems. The main tasks include: 1) operations optimization (logistics, route planning, supply-chain management); 2
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, the van Andel Research Institute, Michigan, USA and the Nordic MDS study group. Our location at the Copenhagen Biocentre/BRIC provides optimal conditions for interaction with the basic scientists at BRIC
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thereafter. Job description You will be working with antibodies targeting α-synuclein aggregates for therapy against Parkinson’s Disease. The antibodies will be engineered for optimal target engagement
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thereafter. Job description You will be working with antibodies targeting α-synuclein aggregates for therapy against Parkinson’s Disease. The antibodies will be engineered for optimal target engagement
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learning, operations research and optimization, developing advanced computational and decision-support methodologies for complex real-world challenges. The group conducts research spanning both
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Two DTU Tenure Track Assistant Professors in Autonomous Modelling and in Robotic Synthesis of Ene...
) closed-loop materials discovery, e.g., Bayesian Optimization, autonomous analysis of patterns, spectral data or cell-level testing. Experience with predictive control of the synthesis robotics and reaction