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Job Description The Department of Civil and Mechanical Engineering of the Technical University of Denmark (DTU) has an open PhD position on the topic of “Automation of tool wear measurement and data
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Job Description Are you ready to transform the future of biologics with AI? Are you passionate about understanding to drive AI research in interplay between AI-Protein design, automation, and
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code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and
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with application of automated procedures for screening such libraries In-depth knowledge of heterologous protein expression and optimization of same. Hands-on experience with Saccharomyces cerevisiae
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instrument automation Thermodynamics of CO2 absorption and conversion Enzyme discovery You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two
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scientists and oceanographers in assessing ecosystem status. (2) Data Scientist able to build automated data‑collection and processing pipelines tailored to research questions such as fish seasonality and diel
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prior experience in at least three of the following areas: Python programming Develop LLM-based tools to automate data connector generation for data ingestion. Design and implement a multi-layered storage
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advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and analysis of biological systems
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analysis (LCA) Data processing, incl. artificial intelligence and machine learning Serious gaming incl. AR/AV/VR Automation and robotics, incl. human-machine interaction Approval and Enrolment