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Field
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Research Infrastructure? No Offer Description Work Activities In semiconductor device manufacturing, metrology tools are required for wafer alignment, overlay and device inspection. As devices become more
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semiconductor QDs and high impedance superconducting resonators We are excited to announce a unique opportunity for a highly motivated PhD candidate to join our ongoing collaborative research effort in the field
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information science, focusing on spin qubits and hybrid superconducting-semiconductor quantum devices. This position is offered in a shared initiative between the laboratories of Prof. Wallraff and Prof. Scarlino
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Funding providers: EPSRC Subject areas: Photodetectors, Semiconductors, Electronics, Optoelectronics Project start date: 1 July 2024 (Enrolment open from mid-June) Aligned programme of study: PhD in
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The Project Physics and applications of semiconductor quantum-dot spin qubits. Semiconductor quantum dots, known as artificial atoms, are nanometer-sized semiconductor crystals capable of trapping
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--1-12778 Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD student positions in Semiconductor devices for future terahertz electronics We are looking
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Supervisory Team: Ioannis Zeimpekis Project description: Revolutionising the semiconductor industry with next generation 2D materials and devices. Moore’s Law is currently being challenged with
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Offer Description LAAS CNRS, Multilevel Materials Modeling team. The test materials that will be studied during the thesis will be semiconductors used in various microelectronics technologies (SiGe, GaAs
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7 May 2024 Job Information Organisation/Company Forschungszentrum Jülich Research Field All Researcher Profile First Stage Researcher (R1) Country Germany Application Deadline 19 Jan 2038 - 03:14 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research...
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Your Job: You will strengthen the data science and machine learning activities of the IAS-9 with exciting new topics. You will work in a multidisciplinary team of enthusiastic data scientists, software developers and domain scientists on, e.g., Development and adaption of existing data mining...