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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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of the provisions of the collective bargaining agreement. Here, you supervise your students in courses about parallel computing, computer architecture, programming models and high performance computing
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required. • Practical experience in handling and genetically manipulating non-model organisms • Experience in genetics and cloning • Experience with advanced bioinformatics tools. • High ability
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administration. This is part of your profile: Completed Master's degree in the field of Biology or Bioinformatics Experience in academic writing and with population genetics research methods Excellent command
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. • Knowledge of parallel computing and use of GPUs are desirable. • Supervision and teaching experience is an advantage. • Expertise in dynamical modelling and stellar spectroscopy are assets. • Presentation
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the area of natural language processing using deep learning methods. The focus of our research is in the area of natural language processing with deep learning methods, especially large language models
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the area of natural language processing using deep learning methods. The focus of our research is in the area of natural language processing with deep learning methods, especially large language models
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exams. You will provide administrative support for externally funded projects and order office supplies for the institute. Human resources: You will administer the recruitment process as well as general
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organisational unit of the Institute for Criminal Law and Criminology and focuses its research on criminal law, criminal procedure law, fundamental principles of criminal law and fundamental rights, selected areas
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industrial process lines. Your future tasks: The Bonifazi group (https://bonifazi-group.univie.ac.at/ ), led by Prof. Bonifazi is situated within the Faculty of Chemistry at the University of Vienna. Our group