960 data-"https:"-"https:"-"https:"-"https:"-"Central-European-University" positions at Nature Careers
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, 2026 at 6:00 pm (CET) at contact@fondation-u-pariscite.org ▪ No additional documents will be accepted after the deadline. ▪ For further information or inquiries, contact Alain TEDGUI alain.tedgui
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of Federated Information Systems is seeking for the next possible date a Scientific Project Coordinator in part-time (80%) Reference number: 2026-0045 We are seeking a highly motivated scientific project
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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(e.g. RNAi, CRISPR/Cas9, small-molecules). In this context, we also develop new computational tools for automated analysis and data visualization. These include algorithms and software applications
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, and train deep learning models on the resulting data to design new antibiotic compounds that evade both current and likely future resistance mechanisms. Your computational work will directly steer
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) methods to detect electrical conductivity contrasts at reservoir depth. As part of the joint project, the results of the EM methods will be combined with other geophysical and petrophysical data. In
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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) to degrade or manipulate targets relevant to pediatric oncology, neurodegenerative disorders and sickle cell disease. This position will work closely with researchers in the Center of Excellence for Data
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collect and analyse health data, identify risks, advise government and experts, and develop new scientific methods. We are based in Berlin, Wildau and Wernigerode. Get started now Apply directly through the
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team — comprising biologists, engineers, computer scientists, and medical researchers — develops next-generation computational models to interpret complex biomedical data across multiple scales. Our