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skills: Proficiency in cell culture techniques and standard molecular and cell biology methods. • Computational skills: Experience in image processing (FIJI) and/or bioinformatics tools and/or programming
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 18 days ago
Nanoparticles for Oral Administration of Therapeutic Peptides”, with reference COMPETE2030-FEDER-00670700, Operation No. 15629, funded by COMPETE2030 and national funds (FCT) under Call for Applications No. MPr
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-of-the-art techniques. Image/data processing skills in Python or Matlab. Proficiency in written and spoken English. Doing a PhD at TU Delft requires English proficiency at a certain level to ensure
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, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load from
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fundamental and translational aspects of infectious disease (germfree/gnotobiotic animal facility, organoid cultures, T-cell engineering via CRISPR/Cas9 technology, in vivo imaging, animal models, microbiome
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, Biomaterials, Biomechanics, Tissue Engineering, Computational Biology, Biomedical Imaging and Modelling, with 800+ students and 200+ academic staff. Eindhoven University of Technology is an open and inclusive
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of: Perform advanced microstructural and topological analysis of natural fibres using 3D imaging and image‑processing tools. Design and refine routes to isolate and tailor lignin fractions derived from
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developing prototype drug candidates. Project outcomes will be protected as intellectual property and will provide a foundation for translation through clinical studies and appropriate commercialisation
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multiphysics - Strong interest in experimental techniques and analysis of experimental data - Skills in programming and signal and image processing - Taste for interdisciplinary environment: physics, chemistry
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application! We are looking for a PhD student in biomedical engineering with a focus on deep learning for medical images Your work assignments The position focuses on developing methods for federated learning