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flow cytometry you will develop advanced tools to analyse and study microglia phenotype, function and dysfunction. If you are up for a technological challenge to address key biological questions
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, onboarding materials). Foster a security-by-design culture in collaboration with ICT and research units, promoting early engagement in tool development and procurement. Actively engage with stakeholders across
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cytometry. A key responsibility will be the development and implementation of robust automated computational flow cytometry data analysis pipelines. More detailed information about our core, service offerings
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the training activities and scientific events, in coordinating and updating a scientific blog on legislative and jurisprudential developments and in maintaining contact with DTU-GREITMA's stakeholders Helping
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Systems Engineering while collaborating on a publicly funded research project with our industry partner Encevo. In this project, the aim is to analyze and develop robust anonymization techniques that can
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with privacy by developing techniques that optimize both aspects. The candidate will perform the work together with a team of postdoctoral researchers who are experts on the field and other PhD student
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researcher to study the complexity and heterogeneity of both mouse and human microglia in neurodevelopment and neurodegeneration. By using state of the art spectral flow cytometry you will develop advanced
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researcher who is passionate about developing automated systems for microbiological research. The ideal candidate has: An MSc degree in bioengineering, biotechnology, microbiology, computer science, mechanical
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is to offer and deliver cutting-edge research, provide top-notch designs and developments on power electronics, powertrains and smart green energy solutions with intelligent control systems
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of CLiPS, which focuses on the application of statistical and machine learning methods, trained on corpus data, to explain human language acquisition and processing data, and to develop automatic text