78 parallel-processing-bioinformatics uni jobs at UNIVERSITY OF VIENNA in United Kingdom
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material, and at the same time use and refine computational methods in the evaluation of these processes. The TT professorship collaborates with the existing professorship for Historical Auxiliary Sciences
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the field of Molecular Biology. Dedicated to a mechanistic understanding of fundamental biomedical processes, scientists at the Max Perutz Labs aim to link breakthroughs in basic research to advances in human
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instrumental analytical methods and, on the other hand, will deal with the computer-aided analysis and processing of large analytical-chemical data sets. Experience and knowledge of digital teaching and
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), completed doctoral study in Science. Computer literacy (MS office, management of databases). Very good command of oral and written language (German and English). Experience in thrid-party funding, experience
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Prof. Hajo Boomgaarden, PhD. The aim of the CCL is to improve our understanding of the causes, processes and effects of mediated communication using computational methods. We strive to advance core
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the field of Molecular Biology. Dedicated to a mechanistic understanding of fundamental biomedical processes, scientists at the Max Perutz Labs aim to link breakthroughs in basic research to advances in human
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interference with cellular processes, which can be utilized for the treatment of diseases. Unfortunately, biomolecules generally do not reach intracellular sites of action efficiently and therefore require
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, Management Science, Organization Science, Organizational Behavior and Human Decision Processes, Production and Operations Management, Research Policy, and the Strategic Management Journal, to mention but a few
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management, you will have a significant influence on the quality and success of these programmes. You will also oversee the selection process for Fellows, where your expertise will be crucial to foster a
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models for open science. It will lay the groundwork for novel approaches to documenting data as a process to cater to the diversity of inter- and cross-disciplinary data needs. The successful candidate