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: Computer Science, Cognitive Science, Colour Science Project start date: 1st October 2024 Supervisors (*lead): Dimitris Mylonas* (Northeastern University London) Alexandros Koliousis* (Northeastern University
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Project title: Atomistic Simulations of Surface Chemistry underpinning the Atomic-Scale Processing of Materials for AI-driven Nanoelectronics Applications Supervisor: Dr. Bora Karasulu (Assistant
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@rmit.edu.au) Advanced Materials, Manufacturing and Fabrication Advanced Materials, Manufacturing and Fabrication
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Supervisors: Prof. James Kermode (Engineering) and Dr. Thomas Hudson (Maths) Summary: Inverse problems are a general class of problems that involve calibrating the parameters of a model using
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, modelling and optimisation, automation, robotics, and material science are desirable. The PhD candidate will benefit from a stimulating research environment, close collaboration with experts, and potential
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have skills in several of the following areas: 1/ Theoretical knowledge: materials science, materials engineering, physics of microelectronic devices, knowledge of organic electronics will be appreciated
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background in mechatronics engineering, chemical engineering or related fields. Experience in process synthesis, product design, modelling and optimisation, automation, robotics, and material science are
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new class of materials which are insulating in the bulk, while having, intrinsically, protected metallic surface states. Bi1-xSbx is one of them and belongs to the 3D Z_2 topological family. The PhD
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the recruitment of 26 excellent doctoral researchers led by the Institute of Materials Science of Barcelona (ICMAB-CSIC). DocFam+ is a unique interdisciplinary and intersectorial research programme. We offer
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» Materials engineering Engineering » Biomedical engineering Researcher Profile First Stage Researcher (R1) Country Poland Application Deadline 15 Jun 2024 - 16:00 (Europe/Warsaw) Type of Contract Temporary Job