94 parallel-processing-bioinformatics positions at UNIVERSITY OF VIENNA in United Kingdom
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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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the field of explainability for natural language processing and deep learning methods. The focus of our research is in the area of natural language processing with deep learning methods, in particular
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in research, teaching and administration. Participation in teaching and independent teaching of courses as defined by the collective agreement. The research should focus on Human-Computer-Interaction
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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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solid foundation for future professional challenges. Your workplace: As a Senior Lecturer, you will be employed in the field of computer-aided and digital teaching in chemistry. The focus of your work
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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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command of written and spoken German as well as solid command of English and Latin Ability to work in a team and strong social/communication competence Knowledge of university processes and structures Basic
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apart as a team is our team spirit and cohesion as well as our mutual support; what is particularly important to us is that we treat each other with respect and cordiality. Your future tasks: You actively
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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