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project - “Automated marine infrastructure inspection based on intelligent underwater robot technology”. Qualifications Applicants should have: (a) a PhD degree with academic background in Mechanical
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solid state systems. Familiarity with chiral self-assembled monolayers, DNA nanostructures, or chiral inorganic/hybrid materials. Experience with instrument development, automation, or custom measurement
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mitigation measures to changing conditions. A key application will be dairy farms, where increasing electrification and automation can give rise to stray currents and voltages that are difficult to locate and
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data can be captured through IoT technologies, and how this real-time information can support process analysis, redesign, automation, monitoring, and decision-making throughout the BPM lifecycle
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grids, multi-vehicle automated driving and human-machine collaboration, enabling safer, more efficient and more sustainable operations. Your responsibilities As a PhD researcher, you will: Analyze
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, automation, high-throughput synthesis and biological testing – skills in high demand across the pharmaceutical industry. The project is a collaboration with Eli Lilly Pharmaceuticals (Boulder, Colorado, USA
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biosystems, or building new robotic measurement and control platforms that automated experimental work and discovery. Potential project extensions include applying these skills to sub-disciplines
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. You will gain hands-on training in medicinal and synthetic organic chemistry, automation, high-throughput synthesis and biological testing – skills in high demand across the pharmaceutical industry
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and automation of simulation workflows and data post-processing (e.g., Python, MATLAB, or equivalent). The following additional merits may also be considered: knowledge in Paraview, GNU/Linux, and
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, where increasing electrification and automation can give rise to stray currents and voltages that are difficult to locate and may affect cow welfare and behaviour. You will perform measurements on farms