46 gis-python-"NTNU---Norwegian-University-of-Science-and-Technology" positions at Nature Careers in Germany
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in programming languages such as Python and C++. Goal is the development and integration of new and automated measurement capabilities for ultra-sensitive low-energy AMS. This includes extending and
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, or a related field A strong interest in magnetic resonance, biomedical imaging, and computational analysis Programming skills (C++, Matlab, Python) Willingness to perform cell culture and animal
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science, e. g. biomedical engineering Research experience in experimental physics, ideally in fields compatible with the activities of the group Proficiency in programming (e. g., Python, Matlab, LabView
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mechanics, geosciences, physics, mechanical engineering or related disciplines #programming skills in one or more languages (Matlab, Python, R, C, Fortran) #excellent knowledge of English (written and spoken
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fields (e. g. physics, computer science, electrical/electronic engineering, chemistry etc.). The knowledge of Python, C or other programming languages in use for accelerator facilities is advantageous. We
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(e.g. FRS, RIPS). Solid programming skills for analysis and simulation (C++, Python, ROOT, GEANT4, NPTool). Familiarity with experimental data analysis techniques including PID methods, and angular
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: Experience in molecular/cell biology techniques AND basic programming skills (Python or R) • For computational candidates: Strong programming skills AND interest in cancer biol-ogy/immunology • Ability
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governance, compliance, and security frameworks (GDPR, HIPAA, etc.) Proficiency in Python, Go, or Bash scripting for automation Previous experience in academic research environments or health/life sciences
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(Terraform or CloudFormation) and CI/CD pipelines Familiarity with modern frontend frameworks (e.g., React) and backend technologies (e.g., Python, Node.js) Strong communication and stakeholder engagement
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of testicular tissue Validate gene expression at the protein level via IHC and Western blotting Analyze large-scale transcriptomic data (R, Python) Test allele-specific regulatory activity using luciferase