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- Institut Català de Nanociència i Nanotecnologia
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. BioNano and Medical Photonics Use of light-based techniques, including super-resolution imaging tools, to study processes of relevance in molecular and cellular biology, and in clinical medical processes
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simulation of scenarios with different materials and geometries. - Support the development and implementation of signal and image processing algorithms, including fast inversion techniques, FFT, and nonlinear
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sytnhesis and functionalization, materials science, characetrization techniques and in vitro/in vivo prototype validation in relevant environments. The candidate will work as part of an international team and
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. MAIAMI aims to establish a paradigm shift in materials science by embedding mechanistic AI agents into physical experimentation cycles—enabling rapid, transparent, and reproducible design of advanced
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for animal experimentation, genomics, imaging and bioinformatics, and strong support for PhD training, career development and international mobility. Where to apply Website https://t.ly/bkiAT Requirements
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | about 1 month ago
techniques and imaging technologies, the unit delivers cutting-edge solutions with real-world impact. Led by Prof. María Cuartero (ERC Fellow) and Prof. Gaston Crespo, UCAM-SENS fosters innovation, education
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tumor-on-a-chip models fabrication and set-up Experience in confocal microscopy and imaging Excellent organizational and multitasking abilities Strong time-management skills Advantageous: Knowledge in
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de neuromelanina y factores de susceptibilidad a la enfermedad de parkinson: rol en el inicio y progresión de la enfermedad” Where to apply Website https://jobs.vhir.org/jobs/6941521-phd-researcher
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markers, control Marfan and OKD48 mouse colonies; surgery for extraction of various organs. The candidate will join the lab of Gustavo Egea (Vascular Cell Biology Lab), which is currently comprised of 1
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transistors to solve some of society’s most pressing computational challenges. Silicon-based approaches to quantum information processing offer advantages for scaling such as high qubit density, record qubit