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Research Associate. Our lab specializes in precision cardiovascular medicine, leveraging cutting-edge approaches such as human iPSC-derived 2D cardiovascular cells, 3D vascularized cardioids, CRISPR gene
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options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits
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experiments and general lab maintenance, support animal behavior experiments, and perform serial section electron microscopy-based 3D reconstruction of neural circuits. Responsibilities Perform serial-section
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Hirszfeld Institute of Immunology and Experimental Therapy Polish Academy of Sciences | Poland | about 1 month ago
responsibilities include: Maintenance and management of 2D and 3D cell cultures, utilizing both commercial cancer cell lines and primary tumor-derived lines. Optimizing and performing of in vitro and ex vivo
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qualifications and skills: 1.Experience with microscopy techniques and image analysis. 2.Solid knowledge in molecular and cell biology techniques. 3.Hands-on experience with 2D and 3D cell culture systems. 4.Prior
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photodynamic therapies in cancer treatment. 2. Knowledge of the principles of working with experimental animals and cell cultures in 3D conditions, the ability to perform cytotoxicity analyses, and the use
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the invasive comb jelly Mnemiopsis leidyi, one of the very few animals known to produce coelenterazine, as model organism in our laboratories at University of Copenhagen. Apart from studying bioluminescence in
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needs and fills gaps. Helps realize STAGE’s various projects through multimedia design, often through prototyping. Possible visualizations may involve projection/video design, 3D modeling, digital
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alternatives and complementary models to animal research, including induced pluripotent stem cells (iPSCs), organoids, and advanced 2D/3D cell cultures. Building on CCP’s current Advanced In Vitro Models
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mechanistic insights linking textural dynamics to sensory perception. Integrate multi-modal datasets from different mastication simulators into a 3D Principal Component Analysis (PCA) space, enabling