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and setup: Within the project, we follow a multidisciplinary collaborative approach for which we are have recruited 3 PhD students focusing on material science, advanced in vivo imaging and computation
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activities. The post holder will be appointed in the Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences (BMEIS), where their duties will include academic, clinical
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sample preparation. Starting date: Flexible—ideally within 3 months. We prioritize finding the right candidate and will accommodate your transition timeline, including visa processing or PhD thesis
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writing papers on the newly-developed methods and study results. Where to apply Website https://www.academictransfer.com/en/jobs/357243/phd-candidate-multimodal-imagin… Requirements Specific Requirements
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state and federal agencies. The appointment is for one year with the possibility of renewal based on performance. Key Responsibilities Lead research and development of a prototype community readiness
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process, but they are not detectable by X-ray crystallography. Therefore we have turned to neutron crystallography to locate the hydrogens (Kelpsas et al. 2021, https://doi.org/10.1107/S2052252521004619
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an experience in technology-assisted monitoring or computational image analysis. Expected start date and duration of employment The position will start in June 2026, with exact starting date as agreed between
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processing modules, notably with the PyNX software (http://ftp.esrf.fr/pub/scisoft/PyNX/ ); Support ESRF beamlines exploiting coherent X-ray imaging techniques; Conduct an original research project exploiting
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electron imaging integration of motion analysis in collaboration processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied
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: https://kaunasin.lt/en/live-in-kaunas/ Application Process Applications must be submitted electronically by e-mail. Deadline: 30 January 2026, 16:00 CET E-mail: talent.pool@lsmu.lt Subject line: My First