16 combinatorial-optimization positions at Delft University of Technology (TU Delft) in Netherlands
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each other. This necessitates a multidisciplinary approach bringing together optimization, machine learning and behavioral modeling methodologies. In FlexMobility we propose a holistic approach to design
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molecules. Position Overview: We seek a postdoctoral researcher to develop and optimize surface functionalization strategies for optical chips, focusing on molecular recognition systems capable of operating
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the second direction, you will explore the geometric design of nonlinear systems. Using nonlinear reduced order modelling (ROM) integrated with optimization algorithms, you will design structures
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. Performance assessment, Evaluate generated designs using key performance indicators such as energy efficiency, safety, cost, and emissions to identify optimal vessel configurations. Research Environment You
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to design and optimize the air filtration unit for the fuel cell system. For this, you will perform a detailed modelling study, complimented by selected experiments, to design the filtration process. The
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strategies (e.g. predictive or machine learning approaches) to improve performance and reduce costs. Collaborating with industrial partners on design optimization, life-cycle analysis, and business case
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prediction of BESS’s electric and thermal behaviours. Optimization of BESS design for high energy density, durability and safety. Validation of models by benchmarking with cell and system level measurements
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performance on an innovative VTOL platform (https://aerogriduav.com/ ). AI models to predict ship motion to optimize landing timing. You will work at the MAVLab, which is part of the Control & Simulation
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first focus on hedging decisions with respect to the uncertainty on the battery model itself. To this end, you will explore concepts such as distributionally robust chance constrained optimization. Second
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issues. Thus, there is a growing demand for efficient and reliable digital CIM-based neuromorphic system design which includes techniques such as reliability-aware mapping and optimization techniques as