78 coding-"https:"-"https:"-"Dana-Farber-Cancer-Institute" positions at Nature Careers
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in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will be contributing to the BESSER
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for a Senior Scientist to contribute to the development of numerical codes used by the Solar System Evolution group and other groups at the department. Our ideal candidate has a scientific background in
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object-oriented software applications. This is an onsite role in Memphis, TN. Other tasks: Leads software coding, testing, debugging, documenting, and installation, and may be responsible for one or more
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ecology and population biology of plants (Reference code 71) Working time: 40 hours per week Term of the employment relationship: 1st of October 2026, limited to a period of 6 years Workplace: 1180 Vienna
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of Vegetation with a focus on Active and passive optical remote sensing data (Reference code 72) Working time: 40 hours per week Term of the employment relationship: 1st of October 2026, limited to a period of 6
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& Infrastructure as Code Develop and maintain automation using tools such as PowerShell (primary), Ansible, Terraform, and scripting languages (Python/Bash). Apply Infrastructure as Code (IaC) principles to enable
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to therapeutic discovery You bring PhD in computational biology, bioinformatics, computer science, or related field Strong coding skills (Python required; ML frameworks preferred) First-author publication(s
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biology, or a related field Experience designing, executing, analyzing, and interpreting quantitative experiments, including high-throughput screens. Experience with coding software such as Python, R, and
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learning, image analysis platforms (e.g., ImageJ/Fiji, CellProfiler), scientific computing, scientific data visualization, scientific computer code optimization and evaluation in an HPC environment
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interdisciplinary research projects in collaboration with experimental labs. Being closely involved in the experimental design, data generation process, and analysis. Writing efficient, reusable, and elegant code