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approaches and will integrate novel hardware (including electrode arrays, microdevices, analytical systems) into automated robotic pipelines You will also apply machine learning-based analyses to imaging and
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applying cutting-edge mathematical methods to spatial transcriptomics imaging data in order to describe and quantify the spatial characteristics and cellular interactions associated with colorectal response
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measurements and perform in-situ high speed imaging to study failure mechanisms complemented by microstructural characterisation and analysis. Experiments will be performed in collaboration with Brunel
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, and molecular biology with considerable expertise in: Stem cell culture and manipulation Extracellular vesicle isolation and manipulation Live calcium imaging and activity measurements in stem cells and
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, your tasks will include: •Designing, executing, and analyzing model-based workflows to study the molecular response of cartilage under mechanical load. •Integrating advanced imaging techniques, including
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precise cancer removal. Utilizing Artificial Intelligence to Segment Echo Images of Tongue Cancer Intraoperatively to Facilitate Radical Resection Squamous cell carcinoma (SCC) of the tongue is a rare yet
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: 259698 Minimum Education and Experience: A Ph.D. or Doctorate degree in a relevant research field is required. Knowledge of protein purification, molecular cloning, anti-cancer research, imaging is
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neurobiology research, Can independently design and conduct experiments, analyze and interpret results, Experience working with laboratory animals, Electrophysiology, Two-photon imaging, Live/in vivo imaging
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now includes five years of follow-up data. You will focus on linking the molecular data with clinical data, which is being analyzed by clinical researchers. Additionally, you may integrate imaging data
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Description Main Responsibilities 1. Conduct Drug discovery and high throughput genomic imaging study. 2. Stablish high throughput (HTS) techniques, including automated seeding, dispensing, and transfection