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- UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA
- UNIVERSIDAD DE LAS PALMAS DE GRAN CANARIA
- Universitat Politècnica de València
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PROCEDURE FOR DRAWING UP OF PREDOCTORAL CONTRACTS FOR THE TRAINING
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reducing energy consumption by up to 30% and cutting costs by a factor of 4 via distributed cascaded optical-hybrid processing, alongside neuromorphic schemes targeting an order-of-magnitude power reduction
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are welcome to apply. MetaTune is committed to ensuring gender balance and fostering real equal‑opportunity access throughout the recruitment process. At the time they are hired, Doctoral Candidates must meet
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/funding reference: PID2021-124030NB-C31 Job title: Optimization, learning, and cooperation with applications in logistics Research line / Scientific-technical services: Optimization in transportation and
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will develop novel ligands for a validated drug target in acute myeloid leukemia. Building on our promising preliminary results, you will optimize and expand the hit discovery using computer-aided tools
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for Accelerated Materials Innovation, which aims to transform the discovery and optimization of high-performance functional materials through a fully integrated, interpretable AI platform. MAIAMI aims to establish
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, optimize, and document acquisition protocols for reproducibility and scalability; stay updated with the latest developments in microscopy automation and scientific instrumentation. Requirements: · Education
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | 2 months ago
. Through advanced Machine Learning and Deep Learning technologies, it seeks to automate agronomic processes, optimize resource use, and maximize production in a sustainable way. Main duties Design
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(CFI) comprises 20 researchers from the Mechanical Engineering and Chemical Process Engineering Dpts. The group has undertaken a considerable amount of research related to Additive Manufacturing (AM
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multidisciplinary Doctoral Network (15 partners and 10 countries) that will collaborate and train 13 PhDs in genomics, metabolomics, fermentation, process optimization, data science, and sustainability assessments