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art history, excellent English and or German, good computer skills (knowledge of a programming language would be advantageous). Extent of Employment: 30hours/week. Job grading in accordance with
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background or strong interest in machine learning, graph theory, and their mathematical foundations. Solid programming skills Experience with machine learning libraries or willingness to acquire Excellent
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some administrative duties Complete the training programme for PhDs at the University of Vienna Disseminate and present your work and represent the group through both scientific and public channels and
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experience. Equal opportunities for everyone: We look forward to diverse personalities in the team! How to apply: Application documents should include: letter of motivation including time plan for doctoral
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skills, including MS Office and other programs e.g. photoshop High-resolution confocal imaging experience Basic programming skills Excellent knowledge of Drosophila genetics Very good ability to explain
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low-level programming languages such as R and Python. Strong communication, data presentation, and visualization skills. Therefore, English is required, and German is an advantage. Ability to work
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excellent grades An excellent command of English and German (spoken and written) Meet the doctoral admission requirements of the University of Vienna by the start of employment Good programming skills
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skills in handling large-scale raw data and long-term data preservation Experience with database structures and data repositories for omics data Strong programming skills (at least in Python), familiarity
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handling systems, tailored console updates. Develop and optimize pulse programs and parameter sets for chemical, biochemical, and materials applications; support the implementation of full automation
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doctoral programme offering first-class supervision, vibrant research networks, and opportunities to publish, teach, and engage internationally. Candidates can select from a cross-faculty list of supervisors