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- Brno University of Technology
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- Institute of Animal Physiology and Genetics of the Czech Academy of Sciences
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Field
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epifluorescence and confocal imaging systems, tissue culture and related laboratory techniques, responsible and proactive approach to work, independence, flexibility, and teamwork skills. Specific Requirements
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as well as in a collaborative team environment. We offer A fully funded PhD position for 4 years. Training in cutting-edge fluorescence methodologies and live-cell imaging. An interdisciplinary and
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Institute of Animal Physiology and Genetics of the Czech Academy of Sciences | Czech | about 1 month ago
morphogenesis, or stem cell biology proven experience with molecular biology, imaging techniques, or in vitro/in vivo model systems experience with single-cell approaches is an advantage ability to work both
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, • in-depth knowledge of machine vision principles and image processing, • programming experience, preferably in Python, • practical experience with the design and testing of simple electronic circuits
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or equivalent Skills/Qualifications • completed master degree (Ing.) in computer science, cybernetics, electrical engineering, physics, or a related field, • knowledge of machine vision principles and image
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) cell biology, using techniques and approaches such as advanced imaging, optogenetics, cell engineering (e.g., CAR-T/NK cells) and synthetic biology. Where to apply E-mail PersonalniLF@osu.cz Requirements
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equipment. Access to cell biology and live-cell imaging laboratory. A well-established international collaboration network in biomedical research. Support of team members with diverse backgrounds
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strategies — developing systems that can respond dynamically to neural and behavioral signals in real time. Your Role: Develop and evaluate new methods for optimizing DBS therapy — from imaging and modeling
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. Development of advanced imaging and characterization technologies (X-ray micro tomography, EPR imaging and spectroscopy) to evaluate performance of electrodes and to map electrolyte chemical composition in
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biomarkers for neurodegenerative diseases like Alzheimer's. Neuroimaging analysis: Applying AI and machine learning to analyze brain imaging data (e.g., MRI) to detect subtle disease-related changes. Human