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contract until: Job ID: 4032 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate about
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of Europe’s leading life science hubs. Both positions may transition into permanent research appointments, depending on scientific vision and contribution. The position offers a minimal annual salary of
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:00 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Oct 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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to the above requirements • Strong background in optimization and partial differential equations • Strong background in numerical mathematics and computing • Machine learning skills are welcome • English skills
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postdoctoral scientist who is excited to develop a user- and developer friendly software platform for MINFLUX. • You should hold a PhD degree in computer science physics or engineering. • You should have a
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certificate of a completed PhD programme (required before the start of the contract) and contact details of 2 persons for reference, to be sent directly to olga.mula.hernandez@univie.ac.at referencing the job
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students This is part of your profile: A PhD degree in microbiology, soil sciences, or a related field. Experience in soil microbiology and measurement of physicochemical soil parameters. Publications in
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Medical University of Graz is looking for a Scientific Project
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assurance This is part of your personality: PhD in biology, microbiology or biochemistry Experience in Archaea research, including genomics and CRISPR-Cas systems Proactive and eager to learn new methods and
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presentations at international conferences Supervision of trainees and students This is part of your profile: A PhD degree in Chemistry, or a related field. Experience in LC-MS analytics, synthesis of molecular