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Field
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analysis pipelines for processing RNA -seq, single-cell RNA -seq, genomics, and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages are
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how large language models, optimisation algorithms and automated model search methods can support researchers in constructing robust behavioural models without replacing scientific judgement. The
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systems, and make an AI-assisted decision with multiple data sources. One example is to develop the semi-supervised methods and dynamic system interfacing algorithms to produce an automated and real
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Model LEO satellite and UAV communication and exposure AI based algorithms to optimize the performance of integrated terrestrial and non-terrestrial networks (coverage, capacity, energy, exposure
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communications, statistical signal processing, and software-defined radio experimentation . Depending on your background and interests, your research may emphasize theoretical modelling and algorithms
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learning” • Participation in ongoing research projects as well as the development of new research initiatives in the fields of mathematics of machine learning, optimal transport, classification algorithms
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algorithms relevant to computational biology, is a plus. ● Ability to work independently as well as part of an interdisciplinary team in a fast-paced environment, while making necessary
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presentations; contribute to the development of detailed protocols including operational definitions, data dictionaries and ICD / CPT codes used for algorithms; will be responsible for making statistical
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dynamic portfolio of tuberculosis (TB) screening research, spanning the evaluation of novel, high-throughput molecular tests, innovative screening algorithms, and digital health tools. A core component of
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presentations; contribute to the development of detailed protocols including operational definitions, data dictionaries and ICD / CPT codes used for algorithms; will be responsible for making statistical