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good command of English, both spoken and written; — experience in research on applied statistics and machine learning will be an additional advantage; — as teaching at the Faculty of Mathematics is
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learning with no more than five years post receipt of this degree, in Electrical/Electronics Engineering, telecommunications, or related field. Other requirements include: Proven track record of publications
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Engineering Technology. Duty includes teaching engineering and technology courses to industry partners in Laser and Photonics Engineering Technology with an emphasis on hands-on learning, developing laboratory
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related discipline. A solid background in de novo protein design, protein structure prediction (Rosetta, AlphaFold, …), protein expression, structure elucidation, machine learning, C/C++ and/or Python with
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network structures. Methods from graph theory, machine learning, and artificial intelligence will be employed to model complex relational structures and identify patterns in high-dimensional data. The work
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themes (Digital Health, Digital Humanities, and Machine Learning) or focus on HPC applications and digital research infrastructure more broadly. We are looking for four interns who are interested in
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Instructor with emphasis on developing and supporting diverse programs ranging from core Computer Science transfer courses to vocational curricula related to Data Science and Analytics, Machine Learning and AI
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hands-on learning, cutting-edge laboratories, and real-world projects combine to prepare graduates for impactful careers across engineering, technology, and the built environment. Our department also
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machine learning (Dr Iñaki Esnaola, Electrical and Electronic Engineering) and advanced machining research (Dr Javier Dominguez-Caballero, AMRC Machining Group), with direct technical support from
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performance specifications. In addition to fabrication, the CNC Machinist & Programmer maintains machining equipment, coordinates equipment acquisition, supervises student workers, and provides technical