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, tsunamis, and climate change in and around Southeast Asia, towards safer and more sustainable societies. For more details, please view https://earthobservatory.sg/ The EOS invites applications for a Research
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a relevant field and have strong quantitative and analytical skills, including experience in food systems modelling or closely related areas. Proficiency in data analysis and coding (e.g. Python, R
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related fields. Quantitative/data analysis skills (Python, MATLAB, or similar). Hands-on experience in single-molecule techniques. Driven, organized, and team-oriented with a solid publication record
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
: 265566 Vacancy ID: PDS003971 Position Summary/Description: The Miao Lab in the Computational Medicine Program and Department of Pharmacology at the University of North Carolina – Chapel Hill (https
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& Automation: Strong Linux administration skills and experience with scripting (Bash, PowerShell, Python, or Ansible) and - Infrastructure as Code (IaC) tools like Terraform and Ansible. - Modern Technologies
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developed prototype brain signal analysis tool written in Python and MATLAB into a robust, user-friendly, and deployable software application using C++/Java that can be used by external users such as
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 7 days ago
joint project between the laboratory “Reproduction et Développement des Plants” at Ecole Normale Supérieure at Lyon (https://www.ens-lyon.fr/RDP/ ), Mosaic team at Inria Lyon (https://team.inria.fr/mosaic
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offers the opportunity to develop an independent research direction within a highly interdisciplinary and collaborative environment. Where to apply Website https://www.academictransfer.com/en/jobs/360169
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. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using MATLAB, Python, or similar platforms. Leads manuscript preparation
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staff to carry out activities related to research lines or scientific-technical services Ref. Interna F1030-7812 PID2022-139551NB-I00 Call for selection of research asistants https://sede.urjc.es