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prototype capable of liquifying hydrogen starting from liquid nitrogen temperature. You will focus on modelling the magnetocaloric liquefaction device using an existing 1D numerical model which has been used
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the magnetocaloric effect to liquefy hydrogen for transportation purposes. The consortium of 14 partners from 9 countries will develop magnetocaloric materials and apply them to a new prototype capable of liquifying
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techniques. Development of quantitative image analysis to extract dynamic information encoded in single and series of atomic-resolved images of single nanoparticles. Investigation of dynamic processes
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have a strong background in AI, particularly in computer vision, as most of the data will consist of images or videos. Additionally, prior experience in both analyzing and capturing data within marine
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experts within stem cells, liposome single-particle microscopy and 2-photon microscopy for blood-brain-barrier transport imaging. More information can be found in a brief overview of the research
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areas. At least one first-author publication, accepted or submitted Strong analytical, organizational, and record-keeping skills Proficient computer skills, including MS Office and research software
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handles only one file. We do not accept zip-files, jpg or other image files. All pdf-files must be unlocked and allow binding and may not be password protected. Applications will be assessed by
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single file, as each field handles only one file. We do not accept zip-files, jpg or other image files. All pdf-files must be unlocked and allow binding and may not be password protected. The assessment
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supportive research environment, bridging basic and clinical research. Modern laboratories with easy access to state-of-the-art equipment and methodologies for sequencing, cell analyses, and imaging
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processing in the human ear. Applying machine-learning models to analyse objective electrophysiological markers, enabling the inference of auditory dysfunction and pathophysiology. Qualifications The candidate