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or cryo-ET sample preparation, data collection and image processing is particularly valuable. You are interested in understanding molecular mechanisms of host–pathogen interactions and are willing
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but reuse a significant amount of code that has been built by 3rd parties. These code artifacts, in the form of externally developed libraries, packages, and frameworks form the core of their so-called
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records and medical images, for applications pertaining to patient diagnostics and prognostics. We are seeking a Postdoctoral Researcher to join the team and make significant contributions to the field
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healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics
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, and modulation, validated on a down-scaled prototype. Where you will work You carry out this position at TU/e Eindhoven within HyCARB, a national programme funded by the National Growth Fund via
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phenomena, specifically for CH4/CO2 mixtures. Knowledge and proficiency in using and implementing modifications to the SU2 code, including coupling gas-mixture and metastable-condensation capabilities within
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; publications--or potential for publications--in academic journals in the field; coding proficiency, preferably in Python; excellent communication and presentation skills; self-motivation; interest in research
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for parameter estimation, degradation prediction, and analysis of electrochemical and structural characterization data, including X-ray CT image reconstruction, segmentation and quantitative microstructure
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highly motivated and talented Postdoctoral Researcherto work full-time in the field of medical physics and engineering, particularly on low field magnetic resonance imaging (MRI). The position is within
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material imaging (optical microscopy, SEM, EDS). English language proficiency at a minimum level of B2 or equivalent, creative approach to problem-solving, ability to work in international teams