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the PhD program in Computer Science and Computer Engineering with specialisation in Information Systems (IS). In the context of Prof. Fridgen's PayPal-FNR PEARL Research Grant and in strong synergy and
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the PhD program in Computer Science and Computer Engineering with specialisation in Information Systems (IS). In the context of Prof. Fridgen's PayPal-FNR PEARL Research Grant and in strong synergy and
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the PhD program in Computer Science and Computer Engineering with specialisation in Information Systems (IS). In the context of Prof. Fridgen's PayPal-FNR PEARL Research Grant and in strong synergy and
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the PhD program in Computer Science and Computer Engineering with specialisation in Information Systems (IS). In the context of Prof. Fridgen's PayPal-FNR PEARL Research Grant and in strong synergy and
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the PhD program in Computer Science and Computer Engineering with specialisation in Information Systems (IS). In the context of Prof. Fridgen's PayPal-FNR PEARL Research Grant and in strong synergy and
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diverse backgrounds (e.g., economics, engineering, computer science, information systems, etc.), united in pursuit of sustainable solutions that positively impact and shape a low-carbon economy and society
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research the Growing schools; Growing futures initiative, thereby contributing to the research program of the SciTeach Center team, led by Prof. Dr. Christina Siry. The PhD candidate will engage in
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(supervisor) The position holder will be required to perform the following tasks/will do research on the following topics: Software engineering practices for machine learning Tabular machine learning Large
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of the following fields: Electrical and Electronics Engineering, Telecommunications Engineering, or Computer Science/Engineering. Experience: The candidate should have strong digital signal processing and
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, particularly in MATLAB or Python, would be beneficial. Your profile The candidate should possess (or be in the process of completing) an MSc degree or equivalent in Electrical/Electronic Engineering, Computer Science