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Field
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fault traces visually in the remote images and topographic data and reproduces these traces as hand-drawn lines in a Geographic Information System (GIS) environment. These environments allow fault
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Researcher to oversee research activities in the lab starting May 2026. The lab’s focus is on mechanisms of visual perception and cortical computations of sensory information. Our interests include the role
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implement independent research projects. Strong skills in data analysis, visualization, and scientific writing are required. These skills are normally acquired through a Ph.D. in Physics, Network Science
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: Excellent verbal and written communication skills. Proficiency in data collection, interpretation, and statistical analysis. Proficiency in data analytics, visualization. Proficiency in at least one of the
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experience in microbiome research sequencing is preferred. Experience with statistical analysis and data visualization, and with using a computational cluster including job scheduling is required. A strong
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microfluidic “mini aquifers”, real-time visualization, and physically based modelling to uncover adsorption and breakthrough mechanisms. You will play a central role in generating experimental insights with
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focus on data collected with in-situ AUV systems and airborne, water-penetrating LiDAR systems. Specifically, the postdoc will partner with both biological oceanographers (Matthew Oliver, Jon Cohen) from
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11 Mar 2026 Job Information Organisation/Company Grenoble INP - Institute of Engineering Department Engineering Research Field Engineering » Materials engineering Researcher Profile First Stage
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in instrumentation and fundamentals of mass spectrometry, as well as skills in data analysis, statistics, and/or visualization is an advantage. Our offer a position for one year, with the possibility
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Postdoctoral Scholar in AI and Music