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-organization. Specifically, you will: Use high-throughput live-cell microscopy, quantitative image analysis, and set-up super-resolution microscopy to track these changes. Combine experimental data with
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hydrogen recovery given the different depletion states of the reservoirs. The ultimate aim is to develop a set of geologically-informed screening techniques and performance criteria that enable us to quickly
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providing financing, and in reporting. In this postdoc position, we are looking for someone with academic curiosity to better understand approaches to ‘value’ regenerative farm performance in food system
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Netherlands Application Deadline 30 Sep 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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Job description Offshore wind energy is vital to global sustainability goals, yet high maintenance costs remain a major barrier. This project addresses that challenge by developing drone-based
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revolutionize high-speed super-resolution imaging through computational innovation. This project focuses on overcoming key limitations in microscopy not by building new hardware, but by creating smarter and more
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understanding of robotic manipulation, and build a record of high-impact publications. Job requirements PhD in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or related field. Strong
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for computing performance guarantees of autonomous AI agents under uncertainty, which will be integrated to various degrees into a use-case with self-driving shuttles. Based on your experience and interests, you
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Application Deadline 2 Oct 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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light/heating modules, and selection and sorting routines. Guided by machine learning, we will perform directed evolution experiments where we optimize the synthetic genome that encodes for a biological