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activated carbon filters using advanced analytical techniques. Project overview In this PhD project, you will analyse the removal of organic micropollutants (OMPs) from wastewater in biological activated
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and Primary Care and Medical Genetics. They will support and conduct analyses of complex datasets, involving both the development of novel analytical methods and the application of existing techniques
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researchers working on innovative projects with as doctoral candidates and post-docs. It has been accommodated in three multidisciplinary UT research institutes: Mesa+ Institute, TechMed Centre and Digital
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rooting stimulation of cuttings’ focuses on analysing cutting tissue using optical coherence tomography (OCT). The focal topics of the sub-project include: Conception and realisation of an OCT system
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. The sub-project of the Phytophotonics department focuses on analysing hyperspectral imaging data for predicting infestations in field crops. The focal topics of the sub-project include: Realisation of a
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. The candidate will work closely with the CIs, post doc and PhD (machine learning) candidate, to develop choreographic structures used to generate movement and interaction capabilities that will define human-robot
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, working with legacy print, manuscript, and digital sources. You will apply and adapt digital methods (especially TEI XML), analyse provenance data, disambiguate historical agents, and contribute
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, evolutionary biology, or closely related fields. You must have experience at the Master’s level with analyses of next-generation sequencing (NGS) data to answer evolutionary questions (e.g. phylogenomic and
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Good problem-solving skills Self-driven motivation and striving for independence Excellent communication skills Ability to work as part of a team Your future tasks: Your responsibilities Analyze (meta
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perspective will be key to contributing to more efficient and sustainable maintenance strategies for renewable energy infrastructure. Responsibilities and qualifications To be considered for this position, you