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development. Training in state-of-the-art technologies and data analysis as well as research management, oral and written communication and networking. Access to state-of-the-art equipment and facilities, e.g
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, scientific curiosity, problem-solving skills, and independent initiative Strong analytical skills and proficiency in written and spoken English Nice to have: Bioinformatic analysis experience (e.g., single
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statistical analysis of results Experience with collecting field data in a spatial context Insight into analyzing data-intensive measurements and sensitive analysis Who we are At the Department of Agroecology
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Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the ...
-disciplinary analysis, modeling, and development of continuous improvement loops that advice researchers of possible solution pathways. At AU, a digital twin platform software called the Digital Twin as a
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, or as soon as possible hereafter. Job description This position will involve experimental planning, design, execution and analysis to elucidate the composition, structure and spatial organization
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will represent a gradient of Ne. In addition to standard bioinformatics work the project encompasses analysis of demographic history and Ne, estimation of inbreeding and genetic load, and eco
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analytical skills in model evaluation Experience in advanced statistical analysis of results Experience with crop model calibration and evaluation, such as DSSAT, APSIM, or equivalent Insight into analyzing
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bioinformatic analysis of NGS data. Hands-on experience in generating high-quality ChIP-seq data. Hands-on experience in culturing mammalian cells. Experience in molecular biology techniques, including use
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strong background in materials crystallography with measurement and analysis of diffuse scattering, including use of the 3D-DPDF method. Furthermore, the candidate preferably has experience in writing