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qualifications as stated below: A MSc degree in agricultural science, or related disciplines. Solid knowledge of whole plant and crop physiology. Good technical skills and practical experimental experience with
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Application Deadline 19 Dec 2025 - 00:00 (UTC) 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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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Copenhagen Business School invites applications for several vacant
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outcome. Responsibilities and qualifications We seek a motivated, curious, and outgoing PhD candidate with a solid background in electromagnetics and antennas, and a very good knowledge of metasurfaces and
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7 Nov 2025 Job Information Organisation/Company NKT Photonics Research Field Physics » Optics Physics » Quantum mechanics Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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or advanced micro/nanofabrication methods. Solid understanding and background in condensed matter physics, quantum mechanics, or nanoscale materials science. Hands-on laboratory experience with characterization
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qualifications: MSc degree in electrical engineering, mathematical engineering, mathematics, computer science or similar; Solid mathematical and analytical skills, including signal processing, statistical learning
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(AIPs). In this interdisciplinary and highly collaborative project, funded by the Novo Nordisk Foundation Disease Catalyst program, we will target the biosynthetic machinery and receptor tyrosine kinase
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collaboration with DTU Bioengineering and DTU Electro. We emphasize the following required qualifications and skills: Strong foundation in Mechanical Engineering, Materials Engineering, Manufacturing or related
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Applicants should hold a relevant MSc degree in electronics, electrical engineering, computer engineering, or related fields. Required Qualification: Solid background in digital CMOS design and deep learning