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solutions using first motion. Experience in full waveform inversion using innovative tools (e.g. ISOLA) and methods (ML), earthquake location algorithms, computer programming and geophysical equipment
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behavior and circuit integration remains poorly understood. In this project, you will develop and apply spatial transcriptomics methods and combine these with measurements of brain activity and cellular
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with independent constraints, including instrumental seismicity, historical and archaeological earthquake records, long-term erosion rates, and regional deformation estimates. Depending
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and highly selective method to modify natural products at otherwise inert positions. This interdisciplinary project will apply state-of-the-art biocatalysts, including cytochrome P450s, hydroxylases
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Jupiter's polar regions using computer simulations. The core of the project consists of coupling a photochemical model (developed and used in numerous planetary applications) with an electron transport model
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-resolution microscopy with genome editing and advanced image analysis, we systematically assess how these methods can reveal disease-associated cellular phenotypes at unprecedented spatial resolution. Working
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foundations, quantum information theory, and quantum technologies. For additional information, please visit: https://dakic.univie.ac.at/ . Your future tasks: You will actively participate in research, teaching
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
the submission of the following documents: i) B1 Form – Fellowship application (https://ist-id.pt/recursos-humanos/bolseiros/#documentos-relacionados ); ii) Curriculum Vitae; iii) academic degree certificate; iv
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health-related field Experience with mixed methods research, systematic reviews & data analysis Strong communication and organisational skills Australian citizenship or permanent residency (If applicable
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a Research Infrastructure? No Offer Description This position is part of HEPARD MSCA European funded doctoral network (https://cordis.europa.eu/project/id/101226455 ). The project is training early