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https://www.ucl.ac.uk/human-resources/conditions-service-research-teaching-and-professional-services-staff for more information. About you The candidate will hold a PhD (or be near to completion) in
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stereotaxic procedures Prior experience in analyzing experimental data in MATLAB and/or Python. See Table 24B for the salary range for this position. A reasonable estimate for this position is $75,600-$194,800
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or seabed mining. The candidate will join the Functioning and Vulnerability of Marine Ecosystems group at ICM-CSIC: https://www.icm.csic.es/en/research-group/functioning-and-vulnerability-marine-ecosystems
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, orientadas a la usabilidad y eficiencia - Robótica social - C, Python. y choreographe para el desarrollo de aplicaciones - Bases de datos SQL para almacenamiento y análisis de datos - Control de versiones con
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experience with the Linux/Gnu operating system and utilities. General experience with scripting or compiled programming languages (e.g., BASH shell scripting, Python, Perl, Ruby, Java, Mono.) Skilled with HPC
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tool at: https://ausme.auburn.edu/ Essential Functions Assist with the development of new AUSME system features using Python. Work with MySQL to query, update, and maintain AUSME datasets. Support server
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). MANDATORY CONDITIONS: completed an appropriate doctoral degree in physics, astrophysics or a related study knowledge of English knowledge of the Python programming language previous experience in the field
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/37947 Job Number SE144024 Position Information Department or Unit Name Career and
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, or consulting on AI or data topics. Experience with both quantitative and qualitative analytical methods. Other Requirements Proficiency in Python and/or R. Skills in survey development, machine learning, NLP
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of the CBI which benefits from all the technical means, equipment and technical facilities necessary for the realization of the project. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5077