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mapping, with molecular approaches using human and animal disease models. Where to apply Website https://www.academictransfer.com/en/jobs/355039/phd-in-cardiac-electrophysiolog… Requirements Specific
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focus We welcome candidates with a strong interest in developmental biology, organoid technology, and disease modelling. This position is part of the EU-funded Marie Curie doctoral network (VISI-ON-BRAIN
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database model of different socio-economic and material data in order to have a nodal-relational dataset for the relevant industries. Further expand the existing visualisation methodology enabling to combine
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appendages using the (halo)archaea as a model. Studying the infection mechanisms of archaeal viruses can provide insight into the evolutionary history of viruses and help to understand adaptation to extreme
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: Multiscale modelling to better understand RFB behavior and identify optimal hierarchical shaped pore- and electrode-structure to encounter optimum electrolyte as well as electrical flow. Prototyping
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of completion. - Copy of (Research) Master thesis. If the MA thesis is unavailable, the applicant should clarify why this is the case and attach a different writing sample (e.g., a copy of an article, book
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models based on survey and secondary data. Creative approaches to combining and leveraging various data sources are highly encouraged! The selected Ph.D. candidate will benefit from our outstanding
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. As part of this PhD, the candidate will: - Conduct an integrative review of established competency models - Create assessment tools (which may include use of AI tools) to measure CLMA proficiency
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explore how to combine data-driven and model-based approaches to assess the quality of returned parts, monitor in-process performance in real time, and support intelligent decisions on remanufacturing
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key physical properties of mixtures of molecules, including solubility, viscosity, and surface or interfacial tension. We will train a range of AI models to allow us to predict these properties from