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for the position: You hold (or expect to shortly receive) a PhD in computer science, statistics, mathematics or a related field. You have previous experience in information technology, preferably demonstrated by a
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doctoral researcher(PhD student) with a strong background in probabilistic machine learning, statistics, applied mathematics, computer science, or a related field, and strong programming skills, to work
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, Microelectronics, Computer Engineering, or a closely related field, completed by the start of the position Have a solid background in digital hardware design: Verilog/SystemVerilog RTL, logic synthesis, and place
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description A Doctoral Researcher (PhD student) in Machine Learning for Electron–Phonon Interactions and Wannier-Based
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Sep 2026 - 00:00 (UTC) Country Finland Type of Contract Other 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
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Chemistry, Physics, Materials Science, Mathematics, Computer Science, or a related field. (*You are required to have a degree that would allow you to enroll for a PhD program in the granting institution, e.g
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- 00:00 (UTC) Country Finland Type of Contract Other 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
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completing a set of advanced taught courses (30 ECTS), writing a doctoral thesis (usually based on several peer reviewed journal publications), and defending the thesis in a public examination. During the PhD
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their practical applications. In this position, you will work at the intersection of quantum computing, computational biology, genomics, and materials science. You will have the opportunity to delve
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more than 18 members and is expanding. We are advancing foundational topics in quantum computing and their practical applications. In this position, you will work at the intersection of quantum computing