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, and programming experience in a UNIX/Linux environment using programming languages such as Python, R, and/or Perl is required. Experience in analysis of genomis /trancriptomic /epigenomic data including
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advanced modelling approaches—such as finite element analysis —to capture the nonlinear, multi-physics nature of soft materials. By integrating experimental data and validating simulations, your work will
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electron imaging integration of motion analysis in collaboration processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied
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methods of soil characterization, monitoring and management, Organization of field campaigns, data collection and lab work, Spectral data analysis, data processing, and model development, ‘R’, Python
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are looking for a candidate with a PhD in epidemiology, biostatistics, data science, medical science, or a related field, with solid statistical skills and the ability to independently manage data from multiple
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, specializing in manure and mortality management. Preferred Education and Experience: ●Master’s degree in Computer Science, Data Science, or a closely related field. ● Hands-on experience with laboratory analysis
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5 Dec 2025 Job Information Organisation/Company CNRS Department Institut des sciences de la Terre Research Field Geosciences Astronomy Environmental science Researcher Profile First Stage Researcher
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Close collaboration between Chemistry and Microbiology Data analysis Publications in peer-reviewed journals and presentations at international conferences Supervision of trainees and students This is part
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carry out cutting-edge research on human-wildlife relationships during the Mesolithic-Neolithic transition using sedimentary DNA analysis, and to assist in WILDERFARM’s public outreach, data management
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manipulations, molecular biology, and behavioral analysis. Data Analysis Uses genetic models, imaging, electrophysiology, in vivo manipulations, molecular biology, and behavioral analysis to answer the research