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Field
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20 Mar 2026 Job Information Organisation/Company Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH Research Field Physics » Computational physics Computer science » Modelling tools
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20 Mar 2026 Job Information Organisation/Company UNIVERSIDAD EUROPEA Department rrhh Research Field Biological sciences Computer science Environmental science Geography Mathematics Medical sciences
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about our enrolment requirements and the general planning of the PhD study program, please see the University of Lleida webpage (https://www.doctorat.udl.cat/en/escola/benvinguda/ ). We offer Build
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20 Mar 2026 Job Information Organisation/Company UNIVERSIDAD EUROPEA Department rrhh Research Field Anthropology Computer science Environmental science Ethics in health sciences Medical sciences
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20 Mar 2026 Job Information Organisation/Company UNIVERSIDAD EUROPEA Department rrhh Research Field Computer science Engineering Environmental science Mathematics Medical sciences Researcher Profile
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2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe Is the Job related to staff
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an integrative perspective through all biological scales (https://www.upf.edu/web/biomed/programmes ). Our research groups are supported by cutting-edge core facilities in scientific computing, flow cytometry
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a Researcher in design and development of food
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PhD position in Adaptive Protocols for Decentralized Wireless Networks - Secure Mobile Systems Group
maintaining the ability for efficient and secure operation. This allows to leverage local power, compute, and communication abilities even if (part of) the core network is affected by an outage. The research
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Network (O-RAN) Virtualization with Shared Heterogeneous Computing ACM MobiCom 2024 [5] A. Collet, A. Bazco-Nogueras, A. Banchs, M. Fiore, Explainable and Transferable Loss Meta-Learning for Zero-Touch