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CRISPR-based gene editing and pharmacological inhibition, to identify mechanistic vulnerabilities in disease-relevant contexts. The candidate will contribute to experimental design, data generation, and
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members. The DKFZ is a place where the brightest minds pursue bold ideas and seek answers to pioneering scientific questions through collaboration, innovation, and exploration across many disciplines. We
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growth chambers. -Experience in basic molecular biology techniques such as cloning and PCR. -Experience in conducting wet lab procedures to prepare libraries. -Formulating hypothesis, design experiments
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dedicated to research and education with an international standard, has been established to serve Morocco and the African continent. Its vision is honed around research and innovation at the service
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design improvements, providing a foundation for scalable industrial applications. Job Description: The postdoctoral researcher will contribute to the development and validation of computational models
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Arabic Studies. The post is designed for an outstanding early career scholar with a promising academic profile who is committed to innovative and impactful research and teaching. The post will commence on
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and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in
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research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial
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). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors. The main objective is to design and apply machine learning and deep
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Qualifications Ability to lead MS based projects with minimal oversight. Proficient in basic statistical methods and design of MSI / LC-MS experiments and techniques. 3+ years of relevant experience in a research