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16, 2018. For getting more information about this, we suggest consulting the DGES portal (http://www.dges.gov.pt ). It may be waived to present it during the application phase for the support in
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for research. What we are looking for MSc in computer science, statistics, or a related quantitative field Proficiency in Python and experience with PyTorch, TensorFlow, or JAX Demonstrated ability to complete
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of the Automated Characterization Platform. Where to apply Website https://jobs.icn2.cat/job-openings/803/phd-student-in-computational-materials-s… Requirements Research FieldChemistryEducation LevelMaster Degree
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) - email : antoine.berthet@centralesupelec.fr – web : https://scholar.google.com/citations?user=jxMJvuUAAAAJ&hl=en Bibliography: [1] J. Federici and L. Moeller, “Review of terahertz and subterahertz
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materials will also be appreciated. Advanced knowledge in scientific programming (e.g. Python, Matlab) is also required. LanguagesENGLISHLevelExcellent LanguagesFRENCHLevelGood Research FieldEngineering
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in Python and affinity with large geospatial datasets. Interest in interdisciplinary research at the interface of geoscience, engineering, and societal impact. Good communication skills and willingness
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, psychometrics – especially in dealing with violations of measurement invariance, as well as extensive computer programming experience in R and Python. Given that the project lies at the intersection of psychology
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biology, pharmacology and/or immunology. Experience in statistical bioinformatics, including developing analysis pipelines and applying programming (R/Python) to genomic/transcriptomic data. Strong written
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-authored peer reviewed papers) • Well-developed statistical software skills (preferably in R, Python, GIS) • Competences in quantitative research methods – ideally knowledge of several of the following
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document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the doctoral program from the Faculty of Engineering (https://www.ntnu.edu/studies/phiv ) You