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). Experience in scientific writing and research methods (copy of the Master's thesis, as well as list of publications and presentations, if applicable). High scientific qualification in numerical methods and
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, Synthetic Data for Machine Learning in Privacy Research, Formalization of Security Risk Management, and Security and Privacy of Blockchain Technologies. In the long term, we are concerned with understanding
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-supported methods for creating laboratory reports as a key component of learning scientific writing. Implementing computer-based experimental techniques. Training student assistants and tutors. Keeping up
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The Computational Drug Discovery and Design Group (COMP3D, https://comp3d.univie.ac.at/) at the Faculty of Life Sciences focuses on developing computer-based methods, particularly those involving machine learning and
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will include the processing of nutritional epidemiology data sets and the writing of scientific publications. You will pass on your know-how to Master's and PhD students and take responsibility for your
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microscopy, proteomics, metabolomics, next-generation sequencing, and high-performance computing. The Perutz participates in prestigious programs, including the Vienna BioCenter PhD program, the EU-funded VIP3
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help us better understand our world. Does this sound like you? Then join our accomplished team! A PhD position is available in the gorup of Prof. Dr. Konrad at the University of Vienna, Department
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exploration and help us better understand our world. Does this sound like you? Then join our accomplished team! A PhD position is available in the gorup of Prof. Dr. Konrad at the University of Vienna
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software for computational analysis methods. Teaching in line with the collective bargaining agreement is mandatory. The employment duration is 4 years. Initially limited to 1.5 years, the employment
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or related fields Successful VBC PhD program Selection or similar international PhD Selection required Practical experience in single-molecule biochemistry Experience with basic bioinformatics tools High