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genomics data, writing Python code for data analysis, and a downstream R pipeline for post-processing data using standard Bioinformatics libraries from Bioconductor. There will be opportunities
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collaborators. For additional information about the Liao research group, please visit: https://sites.google.com/view/chentingliao/ Department Contact for Questions: Questions regarding the position or application
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, deformation mechanisms and mechanical performance, ultimately enabling more efficient design and optimization of advanced structural materials. [1] https://www.pepr-diadem.fr/projet/ammetis-2/ [2] https
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website: https://seu.ub.edu/ofertaPublicaCategoriaPublic/listPublicacionsAmbCategoria?categoria.id=875784 Where to apply Website http://www.ub.edu/caiac/solBeca?idConvocatoria=50452 Requirements Research
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systems, advanced sensing technologies, application of deep learning and AI for wireless systems, etc. For more details, please view: https://www.ntu.edu.sg/eee We invite applications for the position
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Experience working as a developer in Linux environments Good programming skills in Angular and React libraries Basic programming in Python Knowledge of Flask and Docker A bachelor's degree in informatics or a
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contribute to assessing the hackathons to determine who will progress to proof-of-concept testing. Where to apply Website http://www.ucc.ie/en/ Requirements Research FieldEnvironmental science » OtherEducation
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 12 days ago
/Description: The Miao Lab in the Computational Medicine Program and Department of Pharmacology at the University of North Carolina – Chapel Hill (https://www.med.unc.edu/pharm/directory/yinglong-miao/) is
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. Requirements Masters degree in physics (grade of "good" or better). Experience in scientific programming (e. g., Python, Julia). Interest in experimental physics. Good command of English (that will be
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skills include expertise in programming with Python, C, and C++ languages, as well as solid experience in model design, tuning, and evaluation. A good understanding of microarchitectures is an asset, as is