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printing, embedded sensing, and adaptive control, aiming to meet the unique challenges of automation in life science environments. Research tasks and qualifications The main purpose of this PhD position is
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, CRISPR-based gene editing, and high-throughput analysis techniques in healthy and disease model systems. The main tasks include: Culturing of human iPSCs, embryonic stem cells and other mammalian cells
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. The piezoelectric transducers will be based on either chitosan, or aluminum nitride. You will work with academic, clinical, and industrial partners in Denmark and abroad. Your primary tasks will be to: Develop and
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. The project offers a unique opportunity to contribute to both foundational research and practical applications. Your primary tasks will be to: Develop methods for streaming process mining of large-scale event
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samples, generating robust insights into evolutionary history, population dynamics, and extinction processes. Your primary tasks will be to: Develop bioinformatics pipelines for assembling genomes from
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PhD student and clinical partners Participate in a 6–8 months research stay at KAIST Qualifications We are looking for a highly motivated candidate with: A two-year master's degree (120 ECTS points
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The primary tasks will be to: Synthesize thin films of solid-state battery components, following established protocols. Optimize the sensing schemes of a new state-of-the-art commercial scanning NV magnetometer
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bring a strong background in cell culture and molecular biology techniques such as qPCR, ELISA, and RNA isolation. If you have experience working with primary cell cultures or rodent models, that’s a
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. Your primary responsibilities will be within several of the following areas: Design, synthesis, formulation and characterization of new material (inks) for micro-extrusion 3D printing 3D bioprinting
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techniques. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree in a relevant field, such as bioinformatics