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of innovative algorithms to enable fleets of mobile robots to plan their navigation in a coordinated manner within warehouse environments. The algorithms must take into account robot-specific
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Intelligence algorithms for the fashion industry, including predictive models for sales and trend forecasting, multimodal generative models for visual and textual content analysis, and decision-support systems
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2 Apr 2026 Job Information Organisation/Company Università di Pisa - Dipartimento di Ingegneria dell'Informazione Research Field Engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 2 May...
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. Responsibilities You will be responsible for the development of algorithms and software for data analysis take part in planning of experiments at synchrotrons actively participate in experiments Qualifications
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-oriented background - You have a genuine interest in signal processing and machine learning methodology and algorithms - You obtained good grades in courses related to the topics relevant to this PhD
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This PhD project focuses on the design and evaluation of hybrid quantum–classical algorithms for large-scale data analytics and optimisation problems. The research will investigate how quantum
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the assignment is aligned with the objectives of the SAFER project, which aims to develop algorithms for the management of mechatronics intelligent drug-delivery systems, with particular attention to the energy
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are currently seeking applications for a Postdoctoral Research Associate in all algorithmic areas of Theoretical Computer Science. In this role you will work closely with Drs Wirth, Mestre and Canonne
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Associate in all algorithmic areas of Theoretical Computer Science. In this role you will work closely with Drs Wirth, Mestre and Canonne on algorithmic research projects, and contribute to the collegial
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Job Description Job Alerts Link Apply now Research Fellow in Quantum Algorithms University-Level Unit: Centre for Quantum Technologies Faculty/Department-Level Unit: Computer Science Group Employee