880 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "Keele University" uni jobs in Germany
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other questions please contact Dr. Maria Rosenthal (rosenthal(at)bnitm.de , phone: +49 40 285380-942) or visit the group’s homepage (https://www.bnitm.de/en/research/research-groups/pathogen/virology
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to leverage quantum computing and quantum sensing technologies for the development and optimization of next-generation batteries. Quantum computing bears tremendous potential in the simulation of interactions
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-LEE graduate school program (including data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/ Qualification that is highly welcome in industry Further development
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teaching at various levels Experience in acquiring third party funding would be appreciated Very good command of written and spoken English (at least B2 level according to the CEFR: https://go.fzj.de
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The Faculty of Electrical Engineering and Computer Science, Leibniz University Hannover | Hannover, Niedersachsen | Germany | 19 days ago
Faculty of Electrical Engineering and Computer Science, Leibniz University HannoverCountryGermanyCityHannoverPostal Code30161Geofield Contact City Hannover Website https://www.ai.uni-hannover.de Street
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research will be conducted. Secure research approvals in ethics committees. Facilitate contact between the HUMAN ORIGINS PIs, local stakeholders and communities. Establish contacts and reciprocal
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online application https://ipb-halle.mhm.jobs/jobs/10-phd-position-in-biology-m-f-d-1-2026/job_application/new For informal enquiries, please contact Dr. Clemence Marchal via email: clemence.marchal
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Graduate College Global Intellectual History, both in collaboration with Humboldt-Universität zu Berlin). For further activities in the field of global history, see https://www.geschkult.fu-berlin.de/e/fmi
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Research Center / Transregio 227 “Ultrafast Spin Dynamics”, subproject B03, project leader Prof. Dr. Piet Brouwer (https://www.trr227.de/projects/area_B/B03/index.html ). There is an opportunity to earn a
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the DFG Priority Programme “Molecular Machine Learning” and embedded in the research project “Multi-fidelity, active learning strategies for exciton transfer in cryptophyte antenna complexes”. The PhD