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Field
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assisting with in-situ TEM measurements, facilitating cutting-edge research in sustainability and energy fields. Part of the project will also include the development of deep learning frameworks for TEM image
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required, particularly with experience in the development and design of biosensors. · Personal Competences: Proven reputation based on research excellence in their field. Positive contribution
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and modelling of omics, clinical and imaging data, development of reproducible pipelines, application of machine learning techniques, integration of multi-modal data, scientific publication and
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employees during the duration of the contract. - Two-year position based in Madrid (Spain), with a mid-term review at the end of the first year. The post is expected to run from June 2026 to June 2028. - A
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and paleosols 3) train and test deep learning algorithms. You will be required to take responsibility for all the steps involved in the “Phytolith analysis” work package of DEMODRIVERS. This will
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environment, free from any form of discrimination-whether based on gender, sexual orientation, gender identity, age, origin, culture, religion, disability, or any other personal or social condition. We
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fellows will receive joint mentorship from leading experts in metabolic biology, AI and machine learning, drug delivery, and translational medicine, while maintaining full academic independence in research
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2DFERROPLEX, contributing to the development of all-optical neuromorphic components based on two-dimensional ferroelectric heterostructures. Key responsibilities include: Development, preparation, and
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health. The successful candidate will support the integration of chemical exposure measurements with cohort-based exposome data, contribute to the interpretation of analytical chemistry results, and
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. DESIRABLE EXPERIENCE Ecosystem monitoring and vegetation indices. Time-series analysis of environmental or satellite data. Cloud-based geospatial computing and large-scale data synthesis. CONTRACT DETAILS