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important - Prior experience with density functional theory or machine learning is desirable - Proficiency in the Python programming language is important, as well as Fortran - Strong written and oral
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. Further develop of Matlab and Python codes for medical image analysis. Perform advanced statistical analysis using RStudio. Where to apply Website https://jobs.vhir.org/jobs/7291134-predoctoral-researcher
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; running of Perl & Python scripts) are expected. The ability to integrate in a research team and to work independently are expected. Website for additional job details https://emploi.cnrs.fr/Offres/CDD
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; Proficiency in relevant tools, e.g., SPSS, R, Python, NVivo; Excellent written and verbal communication skills; Ability to work independently and meet deadlines; and Highly responsible and attentive to details
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Qualification: • master's in Computer Science, Mathematics, Physics, or related fields; • experience with some programming language such as Python, Matlab or Julia; • excellent analytical and problem-solving
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
visualization. The postdoctoral researcher will be hired either at the Department of Culture and Language (https://www.sdu.dk/en/om-sdu/institutter-centre/iks ) or at the Department of Mathematics and Data
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(AFM, NanoIR, confocal, etc.) and spectroscopic techniques; Strong skills in scientific instrumentation (optics, mechanics, electronics) and/or data processing (Python, Matlab, etc.); Methodological
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for QMSS (including which course(s), if applicable) and the skills (e.g., analytical tools such as Excel, R, Tableau, Python, etc.) and experiences (e.g., jobs, internships, research, coursework, teaching
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qualifications: ⢠Experience with research methods in developmental science ⢠Experience with R, Python, or related programming languages ⢠Conversational proficiency in both Spanish and English Princeton
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in transcriptomics, epigenomics, and/or genomics Strong analytical skills, as well as broad experience with scripting languages (e.g., Python, R, Bash); knowledge of common bioinformatics software and