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Field
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for scientific computing to support users in the process of solving increasingly complex compute- and data-intensive problems in science and engineering on high-end parallel and distributed computing platforms
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and will provide support to parallel spin-off and EU projects investigating the synthesis of novel bio-based surfactants. The synthesis of promising candidates will be scaled up to the kilogram scale
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the process of solving increasingly complex compute- and data-intensive problems in science and engineering on high-end parallel and distributed computing platforms. The selected candidate will play an integral
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systems projects. We are developing the Apollo application development and computing environment. We have coordinated several EU projects on distributed and parallel systems including the edutain@grid
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 3 months ago
Requirements Degree in Microbial Ecology, Bioinformatics, or a related discipline providing strong expertise in microbial data analysis; Excellent knowledge of R and Python; Experience in processing, analyzing
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the Apollo application development and computing environment. We have coordinated several EU projects on distributed and parallel systems including the edutain@grid, AllScale and the ENTICE project. We
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of quantitative analysis of biomolecules using LC-MS and IC-MS (DDA, DIA, label-free, TMT, MRM, PRM, SIM); bioinformatic processing and statistical evaluation (R, TraceFinder, DIA-NN, Waters_Connect
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initiatives. Tasks/ Responsibilities: Lead the design and execution of genomics research projects Provide technological expertise in areas such as genomics, epigenomics, transcriptomics and bioinformatics
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of the Bachelor's or Master's degree programme (e.g., sociological research training, Bachelor's seminar). You will also be responsible for coordinating the content of specific parallel courses. The employment level
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present within research groups. This position addresses the growing need for expertise in image processing, deep learning, and structural bioinformatics, particularly within the context of cryo-electron