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on cybersecurityl Knowledge and experience on advanced modelling Knowledge and experience with the any of the following software: Matlab Python, other Preferred (not all): Knowledge and/or interest on vulnerability
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protocols. Experience writing complex Bash and Python scripts, along with the use of Ansible. Experience with Linux systems administration, especially Redhat, including interface bonding and 802.1Q tagging
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cooperation with the with the Austrian Hail Insurance. Details on AOS: https://github.com/JKU-ICG/AOS/ Possibility for obtaining a PhD and extension beyond project duration Research, development, and field
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computational analysis of genomic datasets using established pipelines in R, python and HPC. Write reports and summaries of findings, including grant preparation and presentations, and look for opportunities
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the emails and registration portal Job Requirements: At least a Bachelor’s in Computer Science or a related field. Proficient in coding (Python, C/C++, Lua) with a focus on clean, efficient code. Good
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bisulfite conversion while utilizing R or Python (e.g., Bioconductor) and maintaining reproducible workflows with Snakemake or Nextflow and version control (Git). Analyze Single-Cell and Multi-Omics Data
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the future. https://nusit.nus.edu.sg/ Job Purpose Deliver enterprise-grade AI-powered applications using primarily but not limited to .NET and React, leveraging AI coding assistants throughout development
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Austrian Academy of Sciences, the Johann Radon Institute for Computational and Applied Mathematics (RICAM) | Austria | about 1 month ago
, Approximation Theory, Machine Learning, Inverse Problems and Regularization Theory. Proficiency in programming with a strong preference for Python and deep learning frameworks such as PyTorch is highly desirable
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, applications, tools, and services for the broader research community to use data at scale to pursue scientific inquiry and accelerate discovery. Learn more at https://gdc.cancer.gov/, https://gen3.org/, https
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, applications, tools, and services for the broader research community to use data at scale to pursue scientific inquiry and accelerate discovery. Learn more at https://gdc.cancer.gov/, https://gen3.org/, https