85 computer-programmer-"https:"-"CEA-Saclay" "https:" "https:" "https:" "https:" "https:" "U.S" positions at Nature Careers in Austria
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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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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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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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, 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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present your research plan to the faculty and complete a dissertation agreement within 12-18 months. This will be reviewed and adapted on an annual basis. • You will work on your dissertation and towards
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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
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computing in a Linux environment A record of presenting your research at scientific conferences Excellent knowledge of written and spoken English (C1) A commitment to collaboration and communication within a
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achievement (at least in the field of civil and commercial law) Excellent computer skills (MS-Office) Experience in working with legal databases Very good written and spoken German language skills Very good
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should be centred on fertility and reproduction, with a clearly demographic approach. They should present a clear and realistic work plan for this short-term role. The Department of Demography
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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