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optimization of CRISPR workflows. Ideal Applicants must Have: The ability to work independently with attention to detail. Knowledge of the principles of good scientific practice. Strong theoretical knowledge
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. Opportunity to publish the dissertation in the Dubnow Institute’s publication program. We value diversity and therefore welcome all qualified applications regardless of gender, nationality or ethnic and social
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January-February 2026. In line with our commitment to diversity, we encourage qualified women to apply, as we aim to increase female representation in the field of science. Additionally, disabled applicants
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number theory and/or additive combinatorics Language proficiency in English or German This post is designed to serve in fostering young researchers. It gives the successful applicants the opportunity
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related to earth sciences for a master’s programme in Germany starting in 2024 (subject to programme resources). Who can apply? Applicants: have successfully completed generally a bachelor’s* degree/a
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looking forward to your scientific expertise at the Department of Neurology – ideally with you on board! Overall, research in the Group of Prof. Dr. Meyer zu Hörste at the Department of Neurology combines
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holidays and weekends (e.g. between Christmas and New Year) Further development of your personal strengths, e.g. through an extensive range of training courses; a structured program of continuing education
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engineering, physics, materials science or a comparable field Experience in material processing and analytics Basic experience with programming software for data analysis Ability to work independently Enjoy
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Extensive knowledge of X-ray methods Knowledge of synchrotron science Knowledge of catalysis a Experience in energy storage Experience with programming languages (ideally Python), SPS controls system Fluent
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functions and components for controlling innovative devices in the field of measurement equipment Conceptualize, specify, and design the control of various RF modules Program microcontrollers Integrate