310 programming-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" Postdoctoral positions in United Kingdom
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, advanced AI algorithms, and decision-support tool development. Responsibilities will include programming, analysing and interpreting data, and contributing to innovative solutions that support maritime
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data advantageous Excellent programming skills in STATA, R, or Python. Excellent track record in terms of international publications in peer-relevant media Willingness to acquire third-party funding
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. Desirable criteria Experience with training or fine-tuning LLMs or other generative AI models Excellent programming skills and familiarity with modern AI frameworks Downloading a copy of our Job Description
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platform (currently under development) and the university outpatient clinic. You plan and conduct your own scientific studies. You publish articles in international peer-reviewed journals. You give
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machine learning, deep learning, audio/image/video classification, attention mechanisms, zero/few shot learning, and evolutionary algorithms. The Research Associate should have proficient programming skills
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experience in analysing whole genome and methylome sequencing data. Experience in machine learning or AI models. Proficient in Python or R programming. Experience in high-throughput compute cluster and Unix
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and external contacts to develop knowledge and understanding to form relationships for future research collaboration. To plan and manage own research activity, research resources in collaboration with
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research within an institute dedicated to engineering biology at an unprecedented scale. In this role you will support an internationally competitive research programme, leveraging GBI’s exceptional
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(Python, bash, etc.), high-performance programming (Fortran/C/C++, CUDA, etc.), ML libraries (sklearn, Pytorch, etc.). In your CV or motivation letter, you can also list other expertise that you may think
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Medicine. This will involve planning and managing your own programme of work, advising on model development strategies, finalising statistical analysis plans, and ensuring the timely completion of high