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technical field Strong programming skills in Python, with experience developing APIs, backend services, or automation workflow Demonstrable experience building AI-enabled applications that integrate large
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learning • Programming skills (e.g., Python, R) • Interest in interdisciplinary research at the intersection of data analysis and learning sciences • Interest in education and learning as an
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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in the Environmental Sensing and Modelling (ENVISION) unit
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science, computer science, or a related discipline is required by the start date. Candidates should have strong Python and geospatial-data analysis experience, demonstrated independent research ability, and
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. Support backend engineering initiatives based on scalable Python microservices, contributing to architectural reviews, code quality improvements, and production-grade deployment practices. Design and
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such as Python, C/C++, or Java. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and geospatial libraries (e.g., GDAL, GeoPandas). Experience managing or supervising
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% with Laura Cantini’s team and 20% with the Bioinformatics and Biostatistics HUB. Information about the teams : The Machine Learning for Integrative Genomics team : https://research.pasteur.fr/en/team
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have: Ph.D. in Biostatistics, Statistics, Bioinformatics, Data Science, or related field; with (i). technical skills such as Proficiency in R, Python, or SAS for statistical analysis and modelling; (ii
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network optimization tools. Knowledge, Skills, and Abilities Strong knowledge of automation frameworks and scripting (e.g., Python, Bash, PowerShell). Hands-on experience with monitoring tools like
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knowledge of and the ability to teach programming languages such as JavaScript, R, or Python. Duties will include research, research-led teaching and administration within the School of English and Digital