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by dr. ir. Ilse Voskamp, dr. ir. Dirk Oudes and prof. dr. Sanda Lenzholzer. Depending on the phase of the project you will also be working in the regions and at the office of project partner Arcadis
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activity (work, studies, etc.) in Germany for more than 12 months in the last 36 months Master’s degree in physics, electrical/electronic engineering, computer science, mathematics, or a related field
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supervision collaboration in national or international research projects (optional) Requirements: university degree in Computer Science, Computational Linguistics, Mathematics or a related field solid knowledge
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(or equivalent) in: Engineering (Mechanical, Materials, or related disciplines) Physics, Chemistry, or Applied Mathematics About the Leonardo Centre:www.sheffield.ac.uk/leonardocentre The Leonardo Centre at the
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(UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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. Your profile An MSc degree in Artificial Intelligence, (Applied) Mathematics/Physics, Computer Science, Engineering or related field. A strong background/knowledge in machine learning and computer vision
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on the topic assigned for each position. Requirements: outstanding university degree (typically M. Sc.) in Computer Science, Data Science, Statistics, Mathematics or another relevant field study with good GPA
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research group ‘Biology of Archaea and Viruses’ is studying infection mechanisms
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, and Computational Social Science. This position is funded under the DTU-JRC Collaborative Doctoral Partnership. Responsibilities and qualifications Your primary responsibilities are: Become familiar
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Computer Science and Computer Engineering with specialisation in Information Systems. In the context of Prof. Fridgen's PayPal-FNR PEARL Research Grant and the FutureFinTech National Centre of Excellence in Research