438 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof"-"Prof" positions in Spain
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22 Sep 2025 Job Information Organisation/Company Universidad Complutense de Madrid Department Oficina Europea de I+D - OTRI Research Field Other Researcher Profile First Stage Researcher (R1) Positions Other Positions Country Spain Application Deadline 26 Sep 2025 - 14:00 (Europe/Madrid) Type of...
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include: Advanced Reinforcement Learning: From sample-efficient offline RL to multi-agent coordination and hierarchical RL, we are developing algorithms that can learn complex behaviors and strategies in
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Laboratory team to collaborate in the execution of the tasks of the Horizon Europe projects AIRSHIP, CORESENSE and METATOOL. The concrete work is the development of software packages including control
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Description The postdoctoral candidate will develop in silico models to approximate the regulation of IVD degeneration with emphasis on the interplay between the innate immune system and the CEP. The work
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the project. Main tasks: Develop and implement optimization algorithms to support daily planning and real-time management modules of EMS software for distributed fuel cell systems.. Support tasks related
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Protocol Development in Cancer Genomics Lab” Reference: 2025-038-01 Application deadline: 17/10/2025 Number of vacancies: 1 Job description: The Cancer Genomics Group (PI: Ana Vivancos) is the Genomics Core
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aplicaciones de gestión de tráfico en el marco del proyecto SEGVAUTO-5G. Technical support tasks for the development of traffic management applications in the framework of the SEGVAUTO-5G project. Where to apply
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endorsed by the European HRS4R (Human Resources Strategy for Researchers) seal. This recognition certifies our optimal working conditions, promoting equal opportunities, professional development and an
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at UPC, are seeking for a PhD student in the area of Sustainable Organic Chemistry within the European project NEO-CYCLE (Grant agreement 101138058) The doctoral thesis will focus on developing innovative
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? No Offer Description PID2022-141627NB-I00: A MODEL FOR LESS IS MORE: development of Oikopleura dioica as an evolutionary knockout model to study the impact of gene loss on the evolution of gene