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date is preferred. The position is limited to 2 years. The Project The main objective of the project is to investigate emergent physics in solid state hybrid systems, such as superconductor-semiconductor
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the following primary tasks: Develop inspection methods for assessing component condition and material quality Perform testing and analysis to support remanufacturing decisions, including Elemental composition
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heightened competitive edge, we are seeking a sharp, highly motivated and collaborative colleague for this position, able to partake the following primary tasks: Develop metrics and methods to assess
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resilience, and heightened competitive edge, we are seeking a sharp, highly motivated and collaborative colleague for this position, able to partake the following primary tasks: Develop metrics and methods
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. As part of the project, you will be involved in Conducting original research in probabilistic machine learning, within the topics mentioned above, focusing on generative and Bayesian models relying
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*) Copies of selected publications (English only) Documentation of fieldwork and research management experience Evidence of original, international-level research Transcript(s) and all academic diplomas Full
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frameworks and implementing novel methods for multiphysics topology optimisation. You will collaborate with other members of the MSO research group working on similar topics and act as co-supervisor for Master
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(max. 1 page) A detailed CV Master and PhD degree certificates A complete and numbered list of publications Three scientific publications considered to be most important for the advertised position
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include: A letter of motivation (max. 1 page) A detailed CV Master and PhD degree certificates A complete and numbered list of publications Three scientific publications considered to be most important for
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the following: bioinformatics, proteomics, microscopy, biochemistry, structural biology or CRISPR screening in mammalian cells. At least one first author primary paper, or a first author manuscript