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Institut de Recerca Biomèdica de Lleida, Fundació Dr. Pifarré (IRBLleida) | Spain | about 1 month ago
are recognized: • Paid leave to go to the doctor for reasons of one's own health. • Paid leave to accompany a first-degree relative under 18 years of age, over 70 years of age or with a first-degree disability to
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Infrastructure? No Offer Description Mission: Develop optoelectronic devices based on elemental Se. Functions to be developed: Model the architecture of the devices. Develop selective contacts for ALD. Design new
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Medical Doctorate and have experience in research with a computational component You have strong experience in computational data analysis and strong familiarity with R, python or related languages Strong
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:00AM (posted 2025/11/06, listed until 2026/05/06) Position Description: Apply Position Description About IFAE The Institut de Física d’Altes Energies (IFAE) is a public consortium of the Generalitat de
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:00AM (posted 2025/11/06, listed until 2026/05/06) Position Description: Apply Position Description About IFAE The Institut de Física d’Altes Energies (IFAE) is a public consortium of the Generalitat de
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complexes (with chirality-directed recognition) between chiral nanoparticles and proteins or protein assemblies. Within this project, the proposed post-doc research will focus on the use of millifluidic and
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, social, and psychological outcomes as well as the mechanisms that generate inequalities among singles, both within and across countries. A central component of the project is the design and implementation
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the project for new highly advanced applications. The post-doc will be responsible for the simulation processes, and will help in the characterization tasks. Gross salary per year: 11865,72€ The application
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perform compound screening, among other strategies. If this sounds like a good fit for you, send an email to manuela.garcia@uam.es and visit our websites to learn more about our work: 🌐 NeuroProtection
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surrogates of electronic Hamiltonians. The postdoctoral researcher will develop graph neural networks based on the MACE architecture to predict Hamiltonian elements for 2D materials and van der Waals