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cancer cell growth and invasion, using a variety of 2D and 3D cancer models. Together, this project will determine whether specific cathepsins might represent novel targets to prevent tumour growth and
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Integrated 3D Surface and Below-Surface Models”, ref. 3DURBs/I&D+i/IPLeiria/2025, financed by IPLeiria in the following terms: . SCIENTIFIC AREA: Civil Engineering, Territory Planning and Management
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simulate: Build and mesh 3D model geometries Develop math models and simulation schemes involving steady-state Navier-Stokes and reaction- diffusion equations Use simulations to inform design Stay current
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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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areas*; 2. Technical Skills - Experience in processing 3D point clouds (LiDAR or photogrammetry); Knowledge of GIS, remote sensing, or spatial analysis; 3. Research Experience (Preferred) — Previous
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http://www.ub.edu/caiac/solBeca?idConvocatoria=50433 Requirements Research FieldPharmacological sciencesEducation LevelPhD or equivalent Skills/Qualifications Degree in Pharmacy. PhD in pharmaceutical
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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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