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Field
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coupled with DESI Imaging Mass Spectrometry, HPLC-DAD-MS, HPLC-HRMS, GC-MS, automated extraction systems such as Accelerated Solvent Extraction (ASE) and Supercritical Fluid Extraction (SFE), FT-IR
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automation, microwave synthesis, solvothermal synthesis, organic synthesis of linkers, crystallization, and detailed material characterization. Lab members will have the opportunity to collaborate with
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(e.g. BioLector, ChiBio, etc) and liquid handling robots/automated colony pickers (ROTOR, QPix, HAMILTON). Experience within microbial molecular biology and physiology with a strong focus in non
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willingness to further develop those skills to automate your data processing and improve your own workflow efficiency are expected. Excellent writing and communication skills in English are key assets. You are
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researchers with the mission of reducing the cost and carbon intensity of water desalination and reuse. Ongoing research efforts include 1) developing automated, precise, robust, intensified, modular, and
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automated. In addition to functioning infrastructures, organizations, economic management and policy, changed knowledge, action and meaning-making are required for something that was once considered worthless
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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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Networks, and ICT Services & Applications. Your role The successful candidate will join the Automation & Robotics Research Group (ARG), contributing to the situational awareness research line for robots and
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on the development and implementation of new workflows for the mineralogical and geochemical characterization of ore materials, using combined µXRF-mapping, SEM-based automated mineralogy, and laser ablation ICP-MS
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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