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                Employer- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
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                . Validation of models by benchmarking with cell and system level measurements. The successful candidate will work as part of the MODABAT project funded by the Joint Undertaking of Clean Aviation. The postdoc is 
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                : The postdoc will work under the supervision of Prof. Jason M. Harley (supervisor) at McGill University. The position offers a unique postdoctoral training experience and publishing opportunities within a multi 
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                methods that selectively stimulate flatfish to emerge from the sediment, facilitating their capture in the net. Together, the two Postdocs will develop prototype fishing systems that integrate detection and 
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                Computer Engineering (CE) section of the Quantum & Computer Engineering (QCE) department is looking for a highly motivated PostDoc candidate who wants to work on efficient and reliable digital CIM-based AI 
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                . The Computer Engineering (CE) section of the Quantum & Computer Engineering (QCE) department is looking for a highly motivated PostDoc candidate who wants to work on efficient and reliable analog CIM-based AI 
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                . The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming 
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                global medical challenges. A postdoctoral position is available immediately for applicants interested in developing novel wearable optical sensors for applications in maternal health. The goals 
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                spatial variability of soil health. You will be contributing to specifically the area of using proximal and remote sensors, soil physical, chemical and biological data, as well as plant and weather data 
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                Interferometer (aMZI) sensors on silicon nitride platforms, enabling highly sensitive, label-free detection of biomolecules for astrobiological research. An essential component of the technology is chip 
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                over the course of the project. References: - Deneu B et al (2021) Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment. PLoS Comput