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to root patterning. Integrate molecular and imaging data into a spatio-temporal developmental framework. Research environment and approaches The project is highly interdisciplinary. The successful candidate
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research area or equivalent qualifications High level analytical capability Ability to communicate complex information clearly through written means (from emails to social media posts, to scientific
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Research Cluster with international links. For this project, the successful candidate will collaborate closely with scientists from Amsterdam and Berlin. The successful candidate will hold a PhD in an
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stability. Experience in designing connectors or mechanical interfaces is a plus. Familiarity with 3D printing technologies and materials is advantageous. Strong analytical skills and familiarity with data
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of effective & efficient healthcare interventions. You will design and deliver cost-effectiveness and budget impact analyses, analyse healthcare cost and outcomes data, and develop decision-analytic models
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healthcare interventions. You will design and deliver cost-effectiveness and budget impact analyses, analyse healthcare cost and outcomes data, and develop decision-analytic models. Working closely with
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implement novel computational tools and expand your analytical portfolio. Candidates should hold a PhD (or be near completion), an MSc in Bioinformatics, or have equivalent professional experience in
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/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be
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ability to contribute to developing new ones High level analytical capability Ability to communicate complex information clearly Ability to assess resource requirements and use resources effectively
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guidance to PhD students where appropriate to the discipline Communicate complex information and material of a specialist or highly technical nature Contribute to developing new models, techniques and