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We are seeking a motivated and creative PhD student to develop the next generation of AI-driven protein design methods that explicitly account for protein–lipid and protein–membrane interactions
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2021-2027. Research line / Scientific-technical services: Automatization of supporting structures: Intelligent support for structural design Grant/funding period: START: APRIL 01, 2026 END: SEPTEMBER 30
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human brain organoids, biosensors, biomarker detection technologies, microfluidic systems and computational data analysis. The candidate will contribute to experimental design, data analysis, scientific
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, artificial intelligence, food technology and sustainability from KU Leuven, ILVO and Artevelde University College of Applied Sciences. The PhD candidate will be responsible for:•Designing and developing
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, you design various components of the research. You conduct research that results in a dissertation and aligns with the objectives and requirements of the project. You perform quantitative data analysis
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learning pipelines for multilayer segmentation and nanoscale transistor classification from microscopy images; (b) Designing graph-based inference models capable of reconstructing higher-level logical blocks
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of researchers, health care professionals, and educators. Publishing research findings in leading conferences and journals in HCI, design research, and related fields. Where to apply Website https
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interactive environment. The candidate will join the Dutch-Flemish Postgraduate School ‘Experimental Psychopathology’ (http://epp-research.eu), which will provide additional training and facilitate networking
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countries (HIC). The airm of this PhD project is to understand how E. coli colonization contributes tot he risk of diarrheal disease and infections with AMR and use this knowledge to design interventions
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protein design, with a focus on the development of biosensors for antibiotics. The position is available immediately or by mutual agreement. The project As part of the Swiss National Competence Center in