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Field
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for solids, liquids, and gases, isotopic analyses, automated throughput analyses, and the production of reference material standards. Major Duties/Responsibilities: Develop front-end introduction systems
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, advanced laser spectroscopy and interferometry, including ultra-fast methods Strong hands-on skills in experimental research (optics lab), including automation of data acquisition and data analysis Proven
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in the development and execution of research projects related to cloning, experimental automation and DNA experiment design and such other tasks that are assigned to you. Core Responsibilities: Leads
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, Python, Bash, and other programming languages for data analysis and statistical modeling. Automated Workflows Experience: Proficient in using HPC, Git/GitHub, Nextflow, Snakemake, or Docker for efficient
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your application at various points throughout the selection process, via automated emails from our e-recruitment system. Please check your spam/junk folder periodically to make sure you have not missed
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laboratory technician. You will further have access to the DTU Bioengineering’s robotics platform and collaborate with DTU’s Arena for Life Science Automation (https://dalsa.dtu.dk/ ). Beyond DTU, you will
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fully automated Prompt calibration which can save tens of person years, millions of CPU hours and speed up the typical CMS analysis cycle times by several years. In addition, it allows better optimization
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the human hematopoietic system Experience with automated liquid handling and single-cell isolation systems Extensive knowledge of disease specific domain knowledge, such as cancer or cell development At least
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systems. Includes establishing medical reasoning benchmarks and automated / scalable evaluation methods. Developing recommender algorithms to predict specialty care with large-language model based user
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methodologies and international collaborations. Developing novel computational tools that use recent advances in artificial intelligence to automate and enhance bioinformatic analyses. These projects