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Field
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writing and implementing code alongside extracting information, trends, and patterns from large datasets. Topics to explore during this PhD project include: Investigating available software options Methods
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a strong background in discrete mathematics, algorithms, computational complexity, automata, logic, formal languages, verification, or related topics with undergraduate and/or master’s degrees in
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A fully funded 3.5 years PhD position in developing software and computational tools for sustainable supramolecular materials design is available in the group of Assistant Professor Andrew Tarzia
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offering up to 16 fully funded four-year PhDs in Quantum Informatics to train a new generation of students in the interaction of quantum hardware, software, and applications. A cohort-based 4-year PHD
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infrastructure. For reduced (CapEx) costs, greater flexibility and faster evolution, mobile core/radio network functions today are largely realised in software over commodity computing hardware in private/public
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of written and spoken English (C1 Level) You should be a teamplayer with high social skills to be able to sucessfully work and collaborate with the ANTHROFUTURE team Software proficiency: MS Office What we
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conferences. Additional training in software-defined radio, hardware-in-the-loop testing, and advanced AI methods will further enrich the student’s research experience. At a glance Application deadline
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(Essential) Expertise in Neural Architecture Search for Deep Learning Essential Strong machine learning delivery skills Strong software development skills Demonstrable project management skills Excellent
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astrophysics, and reproducible research software development. Candidate Profile We welcome all applicants with a background in: • Physics, Astrophysics, Data Science, Applied Mathematics or a related field
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candidates are invited to apply promptly as selections will be made on a rolling basis. Ideal candidates would have a strong background in Computer Sciences, Software Engineering, Artificial Intelligence