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content near end-users. However, they still rely on a hierarchical and centralized network model. Peer-topeer systems like IPFS are the second class of candidates, but they lack robust guaranteesconcerning
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. However, while the effects of high doses of IR are well understood in a variety of models, including colon cancer [1], a wide variety of issues and questions remain concerning low dose effects, for which
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, Experience and Qualifications PhD in biochemistry, Biomedical Sciences or Chemistry. Mass spectrometry-based proteomics. Data analysis of large proteomics datasets. Experience in cell culture and molecular
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health and translational medicine using a "bench-to-bedside" approach. By harmonising and analysing diverse biomedical data, while focusing on the secure data processing and predictive modelling, we aim
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based on the birthplaces of their grandparents and were genotyped (for ~9,700 of them) or sequenced (3,998 Illumina short read whole genome sequences 30X). The successful candidates will be responsible
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modelling of complex plasma processes, contributing significantly to fields such as fusion reactor design, material deposition technologies, and space propulsion systems. The project brings together a
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PhD degree in Computer Science, Physics or a related field Experience with parallel programming models Strong programming skills in C/C++ and/or Python Knowledge of distributed memory programming with
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": based on the microlocal analysis of the problem, an efficient alternative to the standard Finite Element approach can be designed. The main aim of this postdoctoral project will be to adapt the methods
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-based gene therapy for mitochondrial disease caused by mutations in the gene encoding the mitochondrial DNA polymerase subunit gamma (POLG). The successful candidate will work under the supervision of Dr
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supervised by Prof. Dr. Jun Pang. For further information or inquiries, please contact Prof. Dr. Jun Pang directly. Your profile PhD in Computer Science or a related discipline, coupled with outstanding