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, electrical/computer engineering, applied mathematics, computational biology, bioengineering, or a closely related discipline. Solid experience training and evaluating AI models. Proficiency in Python and ML
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scientific computing and data visualization and be comfortable navigating a variety of operating systems such as Linux, and have applied experience with software such as Python. The applicant will be expected
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data (nationwide LiDAR coverage at 50 cm resolution). The candidate will perform quantitative morphometric analyses of landscapes and river networks near suspected active faults using GIS tools, Python
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method - monitoring and study of publications relevant to the field - programming/coding in Python (Pytorch) - presentation of results at conferences - interaction with team members and international
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 1 month ago
was installed at IT4Innovations in 2025. For more details, see www.it4i.eu . Activity description: · modelling and optimization of electrical networks using open source tools (preferably Julia or Python
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archive services, and scientific vision to maximize discovery with observatories both in space and on the ground. For more information and activities, please visit IPAC website (https://ipac.caltech.edu
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Infrastructure? No Offer Description This project is part of the European Commission Marie Sklodowska-Curie (MSCA) Doctoral Network GRAIL “Gamma Radiation from the Atmosphere for Investigation and Learning” https
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Infrastructure? No Offer Description This project is part of the European Commission Marie Sklodowska-Curie (MSCA) Doctoral Network GRAIL “Gamma Radiation from the Atmosphere for Investigation and Learning” https
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into production-ready frameworks, standards, and automation patterns using tools like Terraform, Ansible, PowerShell, and Python to deliver secure, scalable, and resilient solutions. Responsibilities KEY
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skills workshops, and international conferences. For more information about the project and consortium see https://secresy4you.eu/ Where to apply Website https://www.math.unipd.it/news/selection