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imaging using deep learning. You will study the water imbibition in hierarchically porous Si‑based material systems across multiple length and time scales. These systems can manipulate fluid transport
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resonant acoustic mixing (RAM) – a relatively novel processing methodology which is of increasing industrial interest spanning multiple sectors. The project will allow the candidate to explore a number of
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analysis skills. Familiarity with stereotaxic surgery, pharmacology, mouse behavior, and imaging techniques is desirable. Duke is an Equal Opportunity Employer committed to providing employment opportunity
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unified artificial intelligence (AI) model capable of segmenting 3D medical images from standard clinical scans and generating 3D meshes across multiple imaging modalities. The project will also investigate
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. This studentship addresses this critical gap by leveraging recent advancements in plankton imaging data classifiers’ translatability across multiple instruments’ output. It will apply existing biodiversity policy
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policy frameworks. This studentship addresses this critical gap by leveraging recent advancements in plankton imaging data classifiers’ translatability across multiple instruments’ output. It will apply
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: Specific skills include mouse injection, tissue isolation and processing, tumor implantation, T cell characterization, cell transfection, flow cytometry, ELISA, cellular and in vivo imaging Development
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related discipline background in one or more of the following areas is desired: X-ray or electron imaging techniques, and image processing proficiency in programming languages such as Python and experience
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professor. The group has three research tracks: freeform design, imaging optics and improved direct methods; for more details see https://martijna.win.tue.nl/Optics/ . The following mathematical disciplines
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, using signal processing/machine learning techniques, to realise all-weather perception in autonomous vehicles with high-quality multiple-input-multiple-output (MIMO) radar sensing/imaging. The project