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using digital learning tools such as R, Python, Stata or Matlab, and has strong data skills. Holds, or will soon complete, a doctorate in a relevant discipline. Desirable qualities include experience
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to changing needs. Is confident using digital learning tools and programming languages such as R, Python and C++. Holds, or will soon complete, a doctorate in a relevant discipline aligned with Data Science
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, machine learning and computer vision techniques, statistical data analysis, and Python programming. Activities will include field calibration and validation of models and data integration into a decision
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software (e.g., R, Python, PLINK, SAIGE). Familiarity with chronic kidney disease phenotypes and population-based studies. Excellent organizational, communication, and documentation skills. Ability to work
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collaboration with AI experts. Your Profile PhD or equivalent experience in Bioinformatics, Computational Biology, Computer Science, or related fields. Strong programming skills in Python and/or R. Experience
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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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of Prof. David Clifton (https://eng.ox.ac.uk/people/david-clifton ). Research will be undertaken in collaboration with clinical colleagues in the Oxford University Hospitals NHS Foundation Trust and other
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platforms (e.g., Azure, AWS, Databricks) and version-controlled collaborative development environments (e.g., GitHub). • Strong programming proficiency in Python; experience with ML frameworks such as PyTorch
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, Python and APIs to fulfill solution development. Essential Duties and Responsibilities Creates intuitive AI-driven interactions-such as chatbots and voice assistants-that prioritize a seamless and
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accepted for publication. Expected skills Proficiency in programming (R, Fortran, Python) and the ability to learn new programming languages, develop code, and analyze data. Knowledge of GIS tools and