381 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "P" positions in Denmark
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open-source code development or publication is an advantage. A proven ability to communicate research results, as evidenced by publications and conference presentations. The ability to work effectively
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information technology, spanning from granular analyses of the agency of code to expansive studies of how information technology challenges and transforms the social, political, economic and cultural dimensions
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Diplomas (MSc/PhD – in English) List of publications Links to relevant public code repositories that you may have contributed (optional) 2 references (who we can contact for further details) Applications
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for the Green Transition (BRIGHT) Recent progress in our ability to read and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition
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source code version control (Git/GitHub), automated testing (CI/CD), and DevOps practices. System development in relation to help building research e-infrastructure systems or other systems to enable users
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. The work includes theoretical analysis, algorithm design, and validation on realistic case studies, as well as dissemination of results through publications, open-source code, and collaboration with internal
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laboratory automation systems or IoT devices is a strong plus. Familiarity with how researchers use computational notebooks (e.g., Jupyter, Google Colab, VS Code) and scientific data platforms (e.g., openBIS
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genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Data Science approaches
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of codes/models simulating the nucleation and propagation of stress corrosion cracking in samples under low cycle fatigue conditions, as well as models for linking the microstructure from the AM process to
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, Medicine, Pharmacy, Epidemiology, or a related discipline • Strong interest in epidemiological methods, data analysis, and coding (e.g., R, Stata, or similar) • Interest in women’s health, fertility