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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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disciplines FELASA certification Experience with or highly interested in experimental immunology (e.g. in vivo models, flow cytometry, imaging) Motivation to learn and apply computational biology/bioinformatics
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sustainable, there is an urgent need for innovative solutions to reduce carbon emissions during synthesis, enhance the durability of materials and improve recycling processes. Be part of this change and explore
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of the identified structures via stereolithographic, 3D printing and textile techniques like tufting, machine-based embroidery techniques or non-interlaced 3D pre-forming. Development of advanced imaging and
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“Female Heart”. The researcher position has a temporary financing for two (2) years from 01.11.25. About the project/work tasks: Advanced image analysis of ultrasound images Statistical analysis
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the risk of disease outbreaks, yet the scientific literature paints a conflicting picture. This projects aims to reveal the ‘why?’ behind the variation in diversity-disease relationships. What mechanisms
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like tufting, machine-based embroidery techniques or non-interlaced 3D pre-forming. Development of advanced imaging and characterization technologies (X-ray micro tomography, EPR imaging and spectroscopy
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@intibs.pl Website of WSD IPAS: https://www.intibs.pl/en/for-students/doctoral-school.html Detail information on the collection and processing of personal data can be found here: https://www.intibs.pl/images
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student at the University of Paris-Saclay attached to the doctoral school of Particles, Hadrons, Energy and Nucleus: Instrumentation, Image, Cosmos and Simulation (PHENIICS). This work will be carried out
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including predictive modelling, computer vision and epidemiology. The student will join an established team of investigators, including statisticians, epidemiologists, image scientists, and clinicians