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for applications. The successful candidate will engage in high-impact research, acquire new scientific skills, and progress in their career within a dynamic and collaborative academic setting. The PDRA will be
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Science in Earth Observation develops innovative signal processing and machine learning methods, and big data analytics solutions to extract highly accurate large-scale geo-information from big Earth
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of thousands of molecules in our fully automated high biosafety screening facility CAPS-IT against multiple viruses. You will be responsible for the development and deployment of advanced machine learning models
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skills in English (written and spoken). Programming skills and experience with deep learning frameworks (PyTorch, Hugging Face, etc.). Qualification requirements The eligibility criteria for prospective
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designing and running large-scale experiments, developing fine-tuning and reinforcement learning approaches, and studying how LLMs can generalize more reliably across tasks and reasoning domains. We
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strong communication, analytical, and interpersonal skills, alongside an excellent command of written and spoken English and Chinese (including fluency in Cantonese). Familiarity with the local educational
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contact Enrico Glaab : Your profile We seek a bioinformatician or computational biologist who is well versed in the machine learning and statistical analysis of biomedical data, the use of artificial
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-based methodologies for protein structure prediction and cofolding Machine learning guided virtual screening Taking on organizational tasks and writing grant applications Your Profile The ideal
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publication list Two educational or professional recommendations A copy of an abstract or reprint of an article All documents must be in English or include an official English translation. Connect with ORISE
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-reviewed journals Excellent written and spoken English language skills The position requires strong qualitative research skills and fluency in English. Previous experience in studying the energy sector will