974 master-"https:"-"https:"-"https:"-"https:"-"Newcastle-University" Postdoctoral positions
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characterize LNPs; optimize delivery to target cells; and evaluate therapeutic efficacy in relevant in vitro and in vivo models. Job Duties Works on projects under the direction of principal investigator (PI
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opinion in everything we do, in the belief that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form. Benefits We offer competitive salaries, access to a
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, then applying those models to reprogram cells in disease contexts. Our primary model system is the fibroblast, a phenotypically plastic cell type with roles in cancer, fibrosis, and inflammatory disease
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). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors. The main objective is to design and apply machine learning and deep
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research projects under the supervision and mentorship of Dr. Wei. The main responsibilities include writing analytical protocols, analyzing large secondary datasets, developing and implementing research
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analyses Skills and requirements Excellent master and doctoral degree in Computational Science/Bioinformatics Strong background in biological fundamentals, including genetics and epigenetics Expertise in
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to lead the development and implementation of Mass Spectrometry applications for translational and clinical research. The postdoc will partner with principal investigators and an outstanding clinical
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for critical RISC-V embedded systems’, led by Prof Oswald. The successful candidate will have the opportunity to closely work with the team of Dr Ordean and Dr Jackson (both University of Birmingham) as the main
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across all 31 local authorities across Ireland. In Sligo, the project will create a living lab to study how behavioural and institutional factors affect participation through three original research
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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