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models) or probabilistic modelling is a strong plus. You have good programming skills in Python and experience with a deep learning framework such as PyTorch. You enjoy interdisciplinary work: you will
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programming techniques; modelling and simulation of radiation effects on complex semiconductor components for radiation hardening; and software engineering practices. Basic knowledge of component
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transformers, self-supervised learning, foundation models, autoencoders or related architectures; • strong programming skills in Python and experience with a deep-learning framework such as PyTorch
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profile A PhD in physics, environmental science or remote sensing, or a related field. Good programming skills (e.g., Python). Familiarity with satellite data or other large numeric data files. Knowledge
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with experimental methods and data acquisition systems like LabView or similar systems will be beneficial Strong, proven programming skills in Python. Proficient in written and oral English. The
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geophysical sensing or imaging techniques (e.g. GPR, seismic methods, ERT, EM methods). Demonstrated experience in quantitative data analysis and scientific programming (e.g. Python, MATLAB, R, or
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programming (e.g., Stata, R). Excellent written and spoken English, with the ability to communicate complex ideas clearly. Ability to work independently on a research agenda while collaborating within
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(preferred but not mandatory) : Prior experience with experimental techniques , especially in optical microscopy and colloidal particle synthesis , is considered a strong asset. Programming and Data
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new avenues, with natural curiosity and a passion for new subjects and research areas; experience with one or more general-purpose programming languages, for example Python and general-purpose deep
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with programming languages, e.g., MATLAB/Simulink, Python, c++, etc. Strong ability to present results effectively and prepare scientific papers for publication in international journals and conferences