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that approximate natural settings, while allowing electrophysiological recordings, high-resolution optical imaging and optogenetic manipulation. In the current project, we are interested in studying learning and
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months ago
the nature of the project which is aimed at utilizing cutting-edge technologies, such as Brain imaging, Neurofeedback and Brain-Computer Interfaces (BCI) for neurorehabilitation, the candidate must have broad
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part of the COP-PILOT project, a solution will be developed to streamline network management and orchestration tasks, incorporating LLMs as a method for implementing the intent-based management paradigm
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for mechanistic analysis of meiotic crossover interference and high resolution imaging of single molecule dynamics of chromosomes Basic Qualifications expertise in high resolution imaging, knowledge of mitotic
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: Conduct a comprehensive literature review on food rheology, texture analysis, particle analysis, image analysis and the IDDSI framework. Design and execute experiments to develop new instrumental texture
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engineering or generative protein design. Quantitative Imaging: Apply advanced microscopy and image analysis pipelines to measure biophysical dynamics in living cells. Output & Mentorship: Drive the publication
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and/or diplomas, if applicable. Enrolment in Master's degree in Computer Science or Informatics Engineering. Work plan: The objective is to develop a prototype system that processes structured
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Informatics or Informatics Engineering. Work plan: The objective is to develop a prototype system that processes geographic information and orthophotomaps and produces segmentation according to predefined rules
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biology/cell biology techniques, and pathology/imaging. Please read more about our recent research accomplishments: seoresearchlab.com/publications/ The Seo Lab is located in the University of Michigan
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Description This Post-Doctoral Fellow position is part of our broader efforts to transform how cancers are classified, diagnosed, and treated through multiplexed tissue imaging, spatial multi-omics, and AI