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Postdoctoral Opportunity in Molecular Biology to Model the Progression of Rheumatoid Arthritis (M/F)
the DigiTREAT project (PEPR Digital Health), which aims to model the progression of rheumatoid arthritis and its evolution in the presence of drug treatment. As part of this project, the postdoctoral researcher
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(Raman, fluorescence), electron-based microscopy, X-ray-based imaging, diffraction and spectroscopy, micro-/millifluidic device design and operation, image/video analysis, bacteria cultivation and
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several universities and industrial partners, the research will focus on developing new catalytic materials and processes for the synthesis of sustainable fuels from CO and CO2 via the Fischer-Tropsch
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: The postdoctoral researcher may be required to supervise the work of interns or PhD students - Sampling and measurements in the field, - Acquisition and processing of microbial ecology data (genomics and
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in a highly competitive international context. The project aims to prototype energy efficient solutions that will enable the HL-LHC and SKA to reliably process and analyze the huge volumes of raw data
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entrainment, physicochemical processes, and interactions between ice sheets and their beds. Recent advances in LA-ICP-MS now enable the spatially resolved analysis of major and trace elements at the scale
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elucidating the molecular and cellular mechanisms of the late phase of long-term potentiation (LTP), a key process in learning and memory. The project is based on the development and use of an innovative
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systems and Python programming - Skills in data processing and image analysis - Oral and written communication skills, ability to facilitate collaboration at the interface between physics, mathematics, and
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expertise in quantitative biophysics and/or modeling approaches. • Experience in advanced imaging, quantitative data analysis, and image processing. • Ability to develop interdisciplinary approaches
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conductivity) of the different constituents is essential to supply material data to the digital models used to design industrial parts, and to understand their behavior under mechanical, environmental, and