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model's development. The position is based at LOCEAN on the Pierre and Marie Curie campus of Sorbonne University. The LOCEAN laboratory (https://locean-ipsl.upmc.fr ) is one of nine laboratories in
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fellow will carry out the development of theoretical and methodological formalisms in relativistic quantum chemistry, as well as their implementation (Python). The position is within the BRUNCH project
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years prior to the effective date of appointment with a minimum of one year eligibility remaining. • Strong proficiency in Python or R and experience with High-Performance Computing. • Proficient
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science, physics, chemistry, or equivalent experience. Demonstrated experience with coding (MATLAB, Perl, Python, Jupyter, C, etc.) and quantum chemistry software (VASP, CP2K, quantum espresso, wien2k
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software (preferably R; but also Python, C++, Matlab are considered) Very good English language skills (level C1), German language skills not required Strong motivation to work in an interdisciplinary
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requirements: Degree in Computer Science, Electrical Engineering, Geosciences, or a related field;* Programming skills (preferably Python); Proficiency in English; Candidate enrolled or eligible to enroll in a
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 11 days ago
regarded, as will proficiency in Python, Julia, or RStats, and experience in industry engagement. To excel in this role, you will be a self-starter who has demonstrated experience in project management and
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approaches using R/Python. Provide general research support to assist laboratory researchers with experiments on an as-needed basis. The applicant is required to be familiar with primary cell culture, single
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for large relational databases using SAS, R, Python and/or SQL. Demonstrated oral and written communication skills, and the ability to present scientific findings in various formats and to compose manuscripts
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field strong analytical skills, with knowledge of fluid dynamics, aerodynamics, and numerical simulation methods basic programming skills (e.g., Python, MATLAB, or similar) and familiarity with data