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. Qualification requirements The selected candidate should have a master’s degree in a related field: e.g., civil engineering , mechanical engineering , computational materials science , or applied mathematics
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should have a recent doctoral degree in electrical engineering, control engineering, or a related field. For the physics-informed AI position, a doctoral degree in computer science or applied mathematics
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-matter BEC in a telecom range Phys. Rev. B 110, 134321 (2024) Your role and goals The successful candidate is expected to lead the experimental effort with a team of PhD and master’s students and
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: PhD or equivalent degree in Robotics, Computer Science, Machine Learning, AI, Control Engineering, or a related field. Excellent programming skills and experience with related tools and software. A
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superconducting qubits and millikelvin electronics Did you recently get your PhD in circuit quantum electrodynamics (cQED) and are now looking into taking the full potential of your skills into use for making new
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should have a recent doctoral degree in electrical engineering, control engineering, or a related field. For the physics-informed AI position, a doctoral degree in computer science or applied mathematics
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require close cooperation with other research groups. The position requires PhD in computer science, engineering, or a related field Excellent research track record in AI and sustainability or cloud
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-matter BEC in a telecom range Phys. Rev. B 110, 134321 (2024) Your role and goals The successful candidate is expected to lead the experimental effort with a team of PhD and master’s students and
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throughout the project. Participate in project meetings, workshops, and dissemination activities. Active communication with the project coordinator Qualifications and experience Recently obtained PhD (within 5
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communication and collaboration. Finnish language is not required. Other requirements: PhD degree in Physics with excellent academic track records. Experience in biological, fluid, or soft matter physics research