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field that provides a sufficient degree of background in computer science, artificial intelligence, mathematics and data science. Fluency in English, Python, and C/C plus plus are required. Experience
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-molecule research to solve important questions in biology and/or medicine. Experience building and maintaining custom single-molecule platforms. Software engineering experience with MATLAB, Python, LabVIEW
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datasets using Python or R. Ability to work both independently and collaboratively, with strong organisation, attention to detail and communication skills. Clear motivation to apply interdisciplinary and
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Experience in mathematical modelling, statistical inference, simulation studies, and data analysis Expert knowledge in relevant programming languages (e.g. R, Python, Julia, C++) Analytical and structured way
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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
demonstrated proficiency with computer coding, such as Python, MATLAB, R, and expertise in statistical modelling. · Experience in designing, planning, and conducting experimental procedures, including
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proficiency in R and/or Python for statistical modeling and large-scale data analysis; experience developing reproducible computational workflows is preferred Experience with Linux-based environments and large
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Software Engineer - Image Quantification and Artificial Intelligence (IQAI), Department of Radiology
or production-grade software that is used by others. Proficiency in two or more programming languages (e.g., Python, C++, Java, Go, Rust) is highly preferred; expertise in Python is highly preferred
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Essential criteria are: Doctoral degree in computed tomography, image analysis, or similar Demonstrated experience in programming (e.g., Python, MATLAB) Theoretical knowledge and practical experience in
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, Bioinformatics or related fields with an interest in biology or Biological sciences with a strong background in programming Expertise and experience in programming, Python or R Expertise to work in a Linux
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running bioinformatics pipelines in R, Matlab, and/or Python. Proficiency in data analysis, data visualization, and statistical inference. Ability to perform independent research and to apply experience