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ways to reduce agricultural or food waste and introducing new food or material products in waste management systems. The ideal candidate will bring expertise in fermentation and non-chemical processing
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engineer or computer scientist to establish a robotic platform for autonomous experimentation in organoid culturing. You will work with life scientists to design, integrate, and establish the platform’s
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of Professor Khuloud Al-Jamal, a Chair of Drug Delivery and Nanomedicine. The aim of our lab is to use nanotechnology to better understand, diagnose and treat diseases with particular interests in cancer and
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present on expedient osseous tools. This methodological breakthrough relies on discriminant analysis of surface textural data (ISO 25178 and SSFA) acquired by confocal microscopy combined with image
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for processing and interpreting mass spectrometry and mass spectrometry imaging data. Conducts git versioning control of R-based lab-wide scripts for basic statistical analysis and preprocessing. Performs
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and practical skills in the field of data science, especially multimodal data analysis. Experience on image processing via machine learning. Programming skills (e.g., Python) are required. Ability
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cutting-edge technologies — from single-cell multi-omics and deep learning to live-cell imaging and stem-cell–based organoid systems — to predict, observe, and manipulate epigenetic processes. Our lab and
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-of-the-art scientific project, • the possibility of professional development in an international expert environment, • access to specialized training in the field of film deposition, spectroscopic imaging and
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validation. Data Processing: Documentation, data analysis, and contribution to reports/publications. Expected Outcomes: TRL 5 UAV prototype. 3 Q1 publications and one patent contribution. Workflow for morphing
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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA