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erythrocytes, alongside biomarkers of inflammation and oxidative stress. Using combined laboratory and clinical data, empirically derived algorithms for subphenotype identification will be developed through
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with anticipating the consequences of adopting nature-inclusive transitions for business and for nature. In that role, you will develop and explore the potential of farm typologies to deal with
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. Regenerative agriculture is a promising avenue to support a healthy, multi-functional and future-proof soil and farming system. Together with regenerative Dutch farmers, ReGeNL is developing a future-proof
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development, immune responses, and cancer progression. We are looking for a highly motivated PhD candidate with an interest in combining non-equilibrium statistical physics, active matter physics, and
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industrial, health care and academic environments, you will have the opportunity to develop both your academic as well as your entrepreneurial skills. For more detailed information, see: https://indibrain.eu
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worlds. You will design QEC codes suited to realistic hardware, develop the decoding algorithms that make them practical, and map the trade-offs between reliability, qubit overhead and decoding latency. A
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Health Data Sciences and Informatics (OHDSI, https://ohdsi-europe.org ) initiative, dedicated to bring out the full value of observational health data through the OMOP Common Data Model and large-scale
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for hybrid design and analysis studies. The project develops an integrated digital framework in the context of multi-materials in which materials research and physical testing form the validated foundation
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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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this PhD project, you will develop responsive MOF-peptide coatings for adaptive protection and follow their chemistry in real time. You will combine porous-material synthesis, thin-film preparation and in