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sequencing, and high-performance computing. The successful candidate will receive a well-endowed start-up package covering positions, consumables, and infrastructure investment. The Max Perutz Labs participate
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tailored to the scientific needs of students in small topical groups. The Doctoral School Computer Science provides the option of performance-based contract extensions (up to 3 months) to doctoral students
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tailored to the scientific needs of students in small topical groups. The Doctoral School Computer Science provides the option of performance-based contract extensions (up to 3 months) to doctoral students
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for interdisciplinary research, with access to advanced core facilities including biooptics, mass spectrometry and high-performance computing. We participate in major training initiatives such as the Vienna BioCenter PhD
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, and high-performance computing for biotechnological applications. The project aims to develop computational tools for bioprocess optimization, combining modeling, simulation, and data-driven methods
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increasingly complex compute- and data-intensive problems in science and engineering on high-end parallel and distributed computing platforms. The selected candidate will play an integral part in the group's
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the top of all universities in the German-speaking world, and belonging to the finest in their field internationally - emblematic of the continuous aspiration to add valuable insights to their academic
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: Completed degree in law Excellent academic performance, particularly in criminal law and criminal procedural law, demonstrated by successful examinations (submission of a transcript of records and grades is
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research aims that interlink. We are supportive and collaborative, and what is particularly important to us is high motivation, discipline, teamwork, and curiosity. Your future tasks: You actively
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performance requirements. Your profile:Must-haves A minimum of 5 years of professional experience in software development for astronomy-related projects, preferably in data flow systems or data reduction