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, the candidate will contribute to the human and environmental microbiome focused research at DoME. One of the main tasks will be the development of high throughput, sequencing-based microbiome profiling methods
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to a multi-lab MRC-funded research project aiming to develop advance humanised pain models. This role is part of a multi-disciplinary team including expertise in cell culturing, electrophysiology, and
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of CH previously developed in our group. About You We are seeking quantitatively-minded researchers with a PhD in physics, mathematics, computer science, mathematical/computational biology, evolutionary
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work closely with Dr. Patrick Bresnihan to develop the FSL and enable academic exchange regarding food system change among researchers and students in Maynooth University, as well as in Ireland and
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on the development of new methods integrating a variety of data types (remote sensing, geology, geophysics, geochemistry) for geological modelling and advanced exploration targeting of mineral deposits
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About the Role The post-holder will investigate the role of the extracellular matrix (ECM) during the evolution of drug resistance in ovarian cancer. The ovarian cancer tumour microenvironment (TME
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using deep learning, computational chemistry, medicinal chemistry, chemical biology, and molecular cell biology to develop novel therapeutics to tackle complex diseases such as cancers. Successful
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advance the development of in the broad areas of emerging memory materials and devices, including post silicon MOSFET-based computing such as analog in-memory-computing or 2D-material based FETs, MEMS
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We invite applications for a postdoctoral researcher to join the UMLFF project at the University of Luxembourg. The project aims to develop the next generation of uncertainty-aware machine-learning
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guiding the earliest stages of mammalian embryo development. The project will combine experimental data obtained through advanced live imaging and spatially resolved molecular profiling with theoretical and