100 phd-image-processing Postdoctoral positions in mechanical-engineering in Netherlands
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low-power mixed-signal ICs for large sensor arrays. Your work may include low-noise analogue front-ends, high-resolution and energy-efficient ADCs, and local data processing and multiplexing. You will
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European partners, supervise MSc and PhD students, and contribute to the development of innovative battery and charging solutions to accelerate the energy transition to climate-neutral cities. The research
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losses and environmental impact As a Postdoc within the EvalueWaste consortium at TU Delft, you will: Scale-up of a solvothermal process to recover metals and polymers from cardiac catheters for reuse
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of uncertainty and complexity. Applicants must have: A PhD degree in a relevant field, e.g. urban geography, urban planning, innovation studies, (social) design (research), public administration
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focus on how atmospheric and oceanic conditions affect turbine performance and power production, significantly less is known about how large offshore wind farms modify atmospheric and oceanic processes
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of Twente and Saarland University, funded under the DFG-NWO WEAVE programme. As a postdoctoral researcher, you will lead the human-computer interaction side of the project. You will investigate how everyday
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related technologies can support explanation in situated conversational settings. We view explanation not as a static output, but as an interactive process that evolves through human-human and human-AI
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metallurgy which is the liquid copper infiltration (LCI) in copper-contaminated steels leading to cracking during steel processing. While LCI is a known issue in conventional steel recycling, it becomes
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adaptation, systemic hemodynamic and biochemical regulation. To understand and predict these processes, virtual human twins need to move beyond acute simulations of cardiac function and incorporate long-term
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executed. In close collaboration with PhD researchers and project partners from TUM and ETH, you will contribute to the development of novel control and learning methods for aerial manipulators and multi