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Field
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analysis Strong programming skills in Python, with additional experience in C/C++ or other object oriented languages Experience with PyTorch/TensorFlow for computer vision tasks Track record of publications
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to model experiments using a range of software packages, such as Python, Matlab or Mathematica. · Experience of experimental research in the field of ultracold molecules is highly desirable, especially
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to analyse datasets Experience in statistical or scientific programming (ideally R and/or Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models
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/scripting (e.g., in Python, and/or R, and/or Matlab, and/or Bash script & NCO & CDO, etc.) and have demonstrable expertise in the analysis of big data, while the experience with interpretation of climate
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atmospheric physics, meteorology, climate, numerical methods, and data science. The Research Associate will be proficient in programming/scripting (e.g., in Python, and/or R, and/or Matlab, and/or Bash script
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technologies, e.g. Ethereum, Hyperledger, Polygon, Cosmos, in smart contract programming, and in applying AI/ML within distributed systems. Skills Strong programming skills (Python, Solidity, JavaScript
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datasets Proficiency in Python for data science and machine learning Possess sufficient breadth or depth of specialist knowledge with deep learning architectures including generative models, particularly
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(e.g. Python, R) Experience in the use of neuroimaging analysis (fMRI, MRI) to study mechanisms of brain function Previous experience of using Bayesian methods in both model development and fitting
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Coding skills and experience in one or more open-source languages (e.g. Python, R) Experience in the use of neuroimaging analysis (fMRI, MRI) to study mechanisms of brain function Previous experience
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. Technical skills Proficiency in computational design tools (e.g., Grasshopper, Rhino, Python). Familiarity with immersive environments (Unity, Unreal Engine). Experience with AI-driven visualization workflows