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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 2 months ago
skills and experience and interest in data analysis, data science, machine learning and process automation would be an advantage. Previous experience with XAS or other synchrotron-based techniques would be
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tasks Conduct combinatorial physical vapor deposition and automated characterization together with other team members Perform accelerated optical degradation tests of transparent conductive materials
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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
, Python, Unix/Linux command-line tools, and workflow automation Profound understanding of the relevant metrics and methods to analyze microbial communities and functions and their spatio-temporal patterns
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prefer to receive applications online. We will update you about your application at various points throughout the selection process, via automated emails from our e-recruitment system. Please check your
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application We prefer to receive applications online. We will update you about your application at various points throughout the selection process, via automated emails from our e-recruitment system. Please
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, information over interaction, and automation over agency. Futures of Language aims to understand what happens when we invert those priorities. As a postdoctoral researcher, you will conduct and publish original
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areas: Setting the immersive virtual reality experiment, building the choice experiment, managing and running the field experiment, analyzing the data and estimating users’ preferences for Automated Taxis
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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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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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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