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research. We advance the understanding of dynamic processes to address global challenges, from mitigating the impacts of natural hazards and sustaining our habitat amid global change to responsibly managing
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on the processing of personal data as part of the application and selection process, please refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/ With the application you agree
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. - Proficiency in written and spoken English. Preferred Factors: Will be considered preferred factors: a) Experience publishing in high impact scientific journals; b) Very good communication and interpersonal
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of chemistry, molecular biology and biomedicine. The Institute provides access to technologically advanced research equipment. Where to apply Website https://system.erecruiter.pl/FormTemplates
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of paternalistic discrimination. Examples of potential factors include i) the direct/indirect nature of the discrimination in question, ii) the nature of the harm prevented, or iii) the well-being level of
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. Application procedure The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files. CV A
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months ago
that packages defined RNA cargos and delivers them to specific cell types. STVs consist of a synthetic protein that is assembled from natural and AI-designed protein domains, along with an engineered fusogenic
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, we offer a dynamic, collaborative ecosystem. The AI and Machine Learning in the Natural Sciences (AIMLeNS) lab is a tight-knit team of computer scientists, chemists, physicists, and mathematicians
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. Support from the IBB Welcome Center with moving to a new place (https://welcome.ibb.edu.pl/ ). Delicious coffee and fruity Wednesdays. Selection process Required documents: CV including scientific
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Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI