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metres, including innovations in all that we do · An environment encouraging curiosity, innovation and entrepreneurship in all areas · Personalized learning programme to foster our
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We are looking for a doctoral candidate with a strong computational, engineering, data scientific or machine learning background that is keen to work in an interdisciplinary environment and open to
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. For more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/ Candidates will be enrolled in the PhD program in Computer Science and Computer Engineering with
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events (e.g. in the context of ALICES) Participate in the wider academic community through conference and workshop participation Teach and assist in undergraduate and graduate courses Publish research
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analysis (R, Python) is an asset. Curiosity, creativity, rigor, willingness to learn, team spirit and collaborative capacity, excellent time and priority management. Fluency in English (written and spoken
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education team while being affiliated with the Institute for Teaching and Learning and situated within the Department of Education and Social Work (DESW). The position includes organizing and coteaching
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and entrepreneurship in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international work environment with more than 50
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sensing, in-cabin monitoring, occupancy sensing, drones, multi-copters, gesture recognition, smart buildings, smart street lighting, smart factories, healthcare, and robotics. The emerging radar sensors in
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Skills: Strong programming skills are an asset Soft Skills: Most importantly, we seek individuals who are curiosity-driven especially interested in interdisciplinary research, eager to continuously learn
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range of research areas and design an individual research portfolio with high impact. As such, successful candidates will be able to align the skills that they learn pursuing a doctorate with their