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-performance planar field-effect transistor. The PhD candidate is strongly encouraged to reflect on the considered research avenues by means of a comprehensive overview of the existing literature and analytical
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well as their key genetic and phenotypic traits and potential synergies among community members, remain poorly characterised. Many data exist, but they are spread into different literature (scientific and grey
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comprehensive overview of the existing literature, analytical assessment and through collaboration with the atomistic simulation team at imec. You will then study the nucleation and growth behavior in atomic
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they are spread into different literature (scientific and grey) or, in the best case, in different databases. However, they are not always reusable because they are difficult to find and access and because
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7 Feb 2024 Job Information Organisation/Company Ghent University Research Field History » Art history Researcher Profile First Stage Researcher (R1) Country Belgium Application Deadline 22 Mar 2024
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7 Feb 2024 Job Information Organisation/Company Ghent University Research Field History » Art history Researcher Profile First Stage Researcher (R1) Country Belgium Application Deadline 22 Mar 2024
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review the existing literature in this novel research field and make analytical assessment of possible growth strategies. This research will be conducted using imec's state-of-the-art 300mm clean room
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Infrastructure? No Offer Description be involved in state-of-the-art 2D research, and contribute to set-up the world’s first 2D experimental pilot line - benefit from imec’s extensive know-how on material
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30 Mar 2024 Job Information Organisation/Company KU Leuven Research Field Juridical sciences Researcher Profile First Stage Researcher (R1) Country Belgium Application Deadline 4 May 2024 - 00:00 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 38 hours/week Is the job funded...
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team with various backgrounds in materials and deposition techniques, state of the art 200mm and 300mm process lines, laboratories, device learning and modelling. The PhD candidate will be part of