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the vascular organoid model, to establish a causal link between these target genes and the vascular calcification phenotype. This PhD project, at the interface of vascular biology, immunology, stem cell biology
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academic research, industry-based preclinical development, secondments, network-wide training and transferable-skills development. The PhD For this position, the recruiting organisation is InnoSer in Leiden
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for evaluating device performance. Develop suitable experimental interfaces between microfabricated devices and electronic measurement equipment, including probes, test fixtures, PCB-based interfaces or equivalent
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Location: Central Cambridge We are seeking applications for a PhD position in AI in proteomics as part of the Horizon Europe MSCA Doctoral Network, ProtAIomics. This brings together laboratories
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD thesis will be carried out
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9 Sep 2026 Job Information Organisation/Company International PhD Programme (IPP) Mainz Department Institute of Molecular Biology Research Field Biological sciences Researcher Profile First Stage
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In this PhD position, you will help design the next generation of circular plastics systems by combining hands-on polymer processing with data-driven modelling. The PhD study is a full-time, fixed
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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
to pioneering research at the interface of materials science, biotechnology, and additive manufacturing. As a PhD student, you will investigate fungal-bacterial interactions, develop living bio-composites based
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to translate fundamental mechanistic understanding into broadly applicable strategies for catalyst and electrochemical system optimization. The PhD student will work on the design, characterization, optimization
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application! We are looking for a PhD student in Medical Science, AI and Bioinformatics. Your work assignments This project aims to develop AI foundation models for integrative single-cell and multi-omics