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This PhD project focuses on advancing computer vision and edge-AI technology for real-time marine monitoring. In collaboration with CEFAS (the Centre for Environment, Fisheries, and Aquaculture
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exploring multiple doping pathways, including chemical, electrochemical, and (photo-)catalytic processes, the project aims to develop versatile and tunable organic semiconductors with enhanced performance
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, particularly in MATLAB or Python, would be beneficial. Your profile The candidate should possess (or be in the process of completing) an MSc degree or equivalent in Electrical/Electronic Engineering, Computer Science
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research. Specific multidisciplinary skills include: synthetic chemistry, structural molecular biology and advanced imaging; it will harness cutting edge computational tools (incl. image analyses), giving
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this sound like you? You hold a Master degree in biology, molecular life sciences, medical sciences or a related field with experience in computational biology (e.g. through computationally-oriented electives
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–plant interactions. Your main responsibilities will include: Developing and applying high-resolution time-lapse GPR and EMI imaging methods at multiple scales to enhance our understanding of the soil–root
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This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at
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science research, quantum computing and space exploration. We seek curious, creative and collaborative people to work in our cutting-edge company. Can you see yourself working in teams and providing
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background in Computational Biology/Genetics/Genomics/Bioinformatics/Molecular Biology. Candidates with expertise in applying AI/ML to high-throughput omics data, processing, and curating large-scale omics
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(IES) performed within the Electrical Energy Systems (EES) group of TU/e. Within the IES program, research is conducted into operation and planning of future sustainable energy systems, with an emphasis