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different scenarios; implement and validate simulation models for system analysis, scenario evaluation, and future optimization; collaborateclosely with researchers, industrial partners, and fellow PhD
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monitoring of biomolecules. In this PhD project, you will explore a novel direction: you will study how nanoswitch sensors can be designed for the continuous monitoring of complex nucleic-acids with dynamic
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limited, noisy, and low-resolution measurement data? In this project, you will develop a novel physics-informed machine learning approach that integrates physical simulations of the measurement process with
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optimization of these building blocks are essential for achieving breakthroughs in data rate, power efficiency, scalability, and overall system cost. This PhD project focuses on the electronic integrated circuit
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Job description We invite applications for a fully funded PhD position in the area of Scientific Machine Learning (SciML), which integrates data-driven machine learning techniques with established
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The smart optical networks lab (SONL) at the Electro-Optics Communication (ECO) group at Eindhoven University of Technology is recruiting for a PhD position to research novel fast controlled photonic
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Come join QuTech and create the Quantum Future! Job description After a successful first hire for this research topic. We are looking for a second candidate to join the Veldhorst group as a PhD
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bind to the biomolecules of interest. In this PhD project, you will explore a novel direction: you will develop and test binder molecules for continuous sensing using de novo protein design strategies
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is seeking a highly motivated PhD candidate to work on a fundamental research project on systems and control theory for learning in neuromorphic circuits. Neuromorphic computing is an analog, brain
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release and self-assembly into a sealing film. You will work closely with a second PhD candidate focused on molecular simulation, and with project partners at UvA and TNO. Your experiments will connect