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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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University Assistent position in the research group Bioinformatics and Computational Biology headed by Ivo Hofacker. Our team works on the development of algorithms and methods for problems in Computational
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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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for Judaic Studies with a focus on source and cultural history. You are in the process of developing an independent research profile. Your current research includes the preparation of a second monograph
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future tasks: Active participation in research, teaching & administration, which means: Support the operation and maintenance of the Physical Properties Measurement System (PPMS) at the Faculty of Physics
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methods from the fields of differential equations and/or stochastic processes, as well as computational approaches and/or statistical methods of data analysis. You can find more information about our
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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