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relevant data science and machine learning tools. Able to work independently and comfortably with a team and external/international collaborators. Able to handle multiple tasks relevant to both project and
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instrumentation and sample processing workflows Ability to work independently, manage multiple projects, and contribute actively to collaborative research Excellent organizational skills and attention to detail
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for Sustainable proteins, who will be assessing in parallel the protein digestibility, bio accessibility and bioavailability of alternative proteins Key Responsibilities: To carry out analytical biochemical
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PyTorch or TensorFlow, is highly advantageous. Experience in developing and deploying machine learning models, particularly in natural language processing (NLP) and large language models (LLMs), including
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resourceful, organised, and able to manage multiple priorities effectively. e) Be highly numerate, analytical, and be willing to work with complex datasets. The ideal applicant should also: a) Have experience
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), Singapore, is a multidisciplinary institute committed to developing new paradigms for biomedical research by focusing on the quantitative analysis of dynamic functional processes. Through quantitative
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part of a larger network, undergo persistent changes that ultimately lead to experience-dependent rewiring of the brain. In parallel to understanding how memories are formed, we are also keen to
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Genetic Studies: Support studies on genetic variants affecting drug metabolism, particularly those relevant to Asian populations. Work with bioinformatics and clinical collaborators to interpret
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research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which
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gnotobiotic studies and microbiome analysis/bioinformatics. Key Competencies/Requirements: Hold a doctoral (PhD) degree in neuroscience or relevant disciplines with strong publication track record Lead