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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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computer science teaching in the first-year computer science bachelor’s program; 3) Create, implement, and anchor novel bachelor’s/Master thesis supervision tools supporting interaction between students and
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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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for the study of quantum quenches. Who are we looking for? We are looking for a candidate who must hold a master degree in theoretical physics and have a strong background in quantum field theory and holography
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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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insight into the structure, reactions and intermediates at an atomic level. Our main research fields are: Electrocatalysis for various reactions: water splitting, CO2 reduction ect. Catalytic surfaces
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and evolution at the Globe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, laurits.skov@sund.ku.dk, 45 35 32 00 23 Principal supervisor is Associate professor Hannes
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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