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, particularly in computer networks, operating systems, computer architecture and distributed systems Excellent programming, system building and measurement skills are required Be familiar with, and ideally worked
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for admission to the faculty's Doctoral Programme. Have a background in socio-technical studies of information systems. Have a background in empirical and in particular qualitative research methods. Have an
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DRIVE35 Collaborate programme, and aims to meet the evolving needs of urban populations while accelerating the shift to zero tailpipe emission transport by validating a novel, lightweight BEV in the L6e
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requirements for our PhD programme . Skills in Python, C++ or ROS are preferred. How to apply Applications should be submitted via the Robotics and Autonomous Systems PhD programme page. In place of a research
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technologies and the development of energy-efficient spintronic devices. Duties of the position Complete the PhD program within three years, including the successful completion of four mandatory courses. Carry
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to potential experimental realizations with significant impact on emerging technologies and the design of energy-efficient spintronic devices. Duties of the position Complete the PhD program within three years
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2025 - 23:59 (Europe/Lisbon) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by
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ecosystems and global environmental change. At EMBRACER we work at the very frontiers of knowledge on climate change, Earth’s climate system and climate feedbacks. Within its 10-year research programme
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is a vibrant international doctoral program with about 75 doctoral students from more than 25 different countries. Our mission is to support students to develop into creative, critical, responsible and
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programmed in advance. If anything changes, it may fail. This project explores how to build more adaptable systems using vision-language-action (VLA ) models. These combine computer vision (to see), natural