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of European projects (GUINEVERE, FREYA, MYRTE) or bilateral CNRS-SCK collaborations (MYRACL, SALMON). Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR6534-AURGON-050/Default.aspx Requirements
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, MYRTE) or bilateral CNRS-SCK collaborations (MYRACL, SALMON). Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR6534-AURGON-049/Default.aspx Requirements Research FieldPhysicsEducation LevelPhD
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AI applications as well as Python-based coding . Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine
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(e.g., Python, MATLAB) Practical experience with laser optics, vacuum technology, cryogenics, and FEM simulations is highly desirable Proactive working style with high level of commitment in solving
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languages such as R, Python, and/or SQL. Strong attention to detail, highly organized, timely, and responsive. Excellent interpersonal, written, presentation, and verbal communication skills. Experience
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employment. For in-unit faculty, the EESP program may be extended to spouses and dependent children (eligibility rules apply). For details on FAU's amazing offers visit us at https://www.fau.edu/hr/benefits
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engineering Computer science -> Cybernetics Positions: PhD postion Type of contract: Temporary Job status: Full-time Hours per week: 40 How to apply: https://www.fei.vsb.cz/en/applicant/doctoral-study/ Select
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data analysis using software Experience in R and python is a plus but not mandatory Good presentation and writing skills Proactive, independent, and solution-oriented way of working Fluent English
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University of California San Francisco | San Francisco, California | United States | about 1 month ago
complex analytical studies, interpreting results, and managing large datasets using statistical programming languages such as SAS, SQL, R, or Python. Experience with data visualization tools such as
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Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description The Machine Learning for Integrative Genomics team (https