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Field
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(Python or similar) Prior experience in skin biology or inflammatory diseases is an advantage Excellence in both written and spoken English Passion for collaborative and interdisciplinary research Research
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, or a closely related field. Proficiency in analysing large climate and environmental datasets using statistical or programming tools (e.g., Python, R, MATLAB). Capability of both managing research
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foundations of ensemble-based forecasting in climate models, mostly in general circulation models (GCMs). You will work with the PI of the project (Prof. Victor Elvira) and collaborate with other ARIA projects
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Fluorescence, FRET, & single‑molecule microscopy Mechanobiology, force-spectroscopy Bioconjugation chemistry, nucleic‑acid chemistry Quantitative image analysis, MATLAB/Python scripting, or machine learning
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biology methods, inorganic spectroscopy, metabolomics, proteomics, aqueous phase catalysis, analytical methods (mass spectrometry, NMR). Experience in data analysis and scientific programming (Python
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in developing engines and/or fuel cells models in GT-Power. Experience in using MATLAB/ Python/Siemens Simcentre to develop AI-assisted programme and models for powertrains and propulsion systems
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, imaging and communication systems and (ii) Leonardo UK, providing application expertise and end-user feedback. The applicant will be expected to work directly with Dr. Yoann Altmann, Prof. Steve McLaughlin
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supervised by Prof. Dr. Jun Pang. For further information or inquiries, please contact Prof. Dr. Jun Pang directly. Your profile PhD in Computer Science or a related discipline, coupled with outstanding
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collaborate with other postdoctoral fellows under the supervision of Prof. Paul Avan, working with diverse datasets collected to improve the diagnosis and follow-up of hearing-impaired patients
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computer science, mathematics, computer engineering, or relevant technical field First-author peer-reviewed published papers (or under review) Proficient programming experience in Python and libraries (e.g., Pytorch