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. PhD Position on Nanozyme-based coating for antimicrobial implants Your tasks Design and synthesize nanozymes: Develop nanozymes, and optimize their physicochemical and catalytic properties. Develop
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Equality Plan that includes work-life balance measures, such as flexible schedule, teleworking, and meeting that respect the working hours. Workplace: Fundación IMDEA Nanociencia, C/Faraday 9, Madrid 28049
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£26,805 per year, and includes the PANDA DFA training programme as part of the 2026 Cohort (https://www.bangor.ac.uk/panda ). This project is linked to UK National Nuclear Laboratory (UKNNL), who will
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Innovation (TCPHI) research centre in the School of Nursing and Midwifery, Trinity College Dublin offers leading expertise: https://nursingmidwifery.tcd.ie/research/research-themes/index.php Areas of subject
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monitoring of biomolecules. In this PhD project, you will explore a novel direction: you will study how nanoswitch sensors can be designed for the continuous monitoring of complex nucleic-acids with dynamic
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 21 hours ago
. The Institute houses the NIA‑designated South Texas Alzheimer’s Disease Research Center (ADRC), directed by Dr. Sudha Seshadri, and also serves as a Center of Excellence for Dementia with Lewy Bodies and
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 8 hours ago
(e.g. geometric deep learning, generative models, representation learning) to decode molecular physiology, pathology, and therapeutic design? Are you passionate about high-throughput biology and scalable
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. The PhD student is expected to develop and apply methods for causal inference will be part of the SMARTbiomed Pioneer centre https://SMARTbiomed.dk/about-SMARTbiomed. Project Description The PhD project
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and innovation. (https://liu.se/loe ) You will work within the newly established Computational Materials Science group of Assistant Professor Waldemar Kaiser, part of the Theory & Modelling unit (led by
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archaeological signatures (e.g., micro-relief, edge structures, etc.) – Design and implementation of new deep learning architectures (both supervised and unsupervised/few-shot, 2D and 3D) for an efficient and