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Specialized areas: Deep Learning, Generative AI, Prompt Engineering, Conversational AI and Chatbots, Reinforcement Learning Applied domains: Machine Learning for Cybersecurity, AI for 3D Imaging, Recommender
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cells, 3D vascularized cardioids, CRISPR gene editing, high-throughput CRISPRko/i/a screening, single-cell multiomics, tissue engineering, and animal models. We welcome candidates with expertise in iPSC
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skills (including 3D modeling) and remote sensing • Advanced field data collection skills • Intermediate statistical data processing skills • Previous volunteer experience in research activities Specific
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approach, Timelapse-Patch-Seq (TiPS), combining electrophysiology, 3D imaging and transcriptomics at the level of individual synapses. Main tasks Design and conduct a postdoctoral research project on long
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aims to use state of the art 3D MINFLUX tracking established in the Jakobs group to follow single labeled sparse cargo proteins in living cells and study their transport to and import through the TOM
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, Optimization of methodologies for the development of advanced 3D models of cancer; Where to apply E-mail positions@gimm.pt Requirements Research FieldOtherEducation LevelPhD or equivalent Skills/Qualifications
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across HHMI. The Foundational Microscopy Image Analysis (MIA) project sits at the heart of AI@HHMI. Our ambition is big: to create one of the world’s most comprehensive, multimodal 3D/4D microscopy
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colleagues to identify emerging risks and apply creative but practical safety solutions in diverse environments such as 3D printing, robotics, drones, autonomous systems, field research, and specialized shops
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Skip to Main Content Press Control+M to start dragging object ptnbsid=qgixaBYmhalpobOdQtSJ82YK1lk%3d Back Accessibility Enable Screen Reader Mode Keyboard Shortcuts Accessibility Help Job
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Responsibilities EE/CSE Makerspace: Assist students with their design projects (PCB design and milling, 3D modeling and printing, soldering, CNC mills, laser cutting). EE Labs: Trains students in effective use