90 computer-programmer-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Nature Careers in Austria
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scientific CV Letter of motivation including potential research interests and a once-page description of the envisaged topic for the PhD project Notification of completed Master's/Diploma programme (degree
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integrative modelling. The successful candidate will develop and lead an independent research programme and contribute to the establishment of new cryo-EM infrastructure at the Max Perutz Labs, including a 300
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integration of teaching across the individual courses offered. Here, the senior scientist will play a coordinating role, thereby supporting the responsible program directors. Outreach The senior scientist
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their passion and determination? We are currently seeking a/an University assistant predoctoral - PhD Position in Graph Learning 39 Faculty of Computer Science Startdate: 01.05.2026 | Working hours: 30
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curiosity-driven research project in the field of machine learning in computational materials science. You will present your research plan to the faculty and complete a dissertation agreement within 12-18
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-leading research and teaching in molecular simulation and computational materials discovery. Fuel cells, photovoltaic devices, photocatalytic converters - they all are crucial elements in delivering
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, or computational chemistry, biotechnology, or related fields Experience in mass spectrometry and scientific publishing Experience in newborn screening research programs Hands-on experience with the operation and
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team on forefront science, while profiting from the international environment in the Department of Astrophysics . We have privileged access to the Austrian Scientific Computing super-computing facility
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experience in microbiome research sequencing is preferred. Experience with statistical analysis and data visualization, and with using a computational cluster including job scheduling is required. A strong
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light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing and quantum cybersecurity applications? Can we