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of AI and Data Science : Machine and deep learning, NLP, BDI (Belief-desire-intention) systems, and Large Language Models (LLMs). Expertise in design and very good programming skills (Python, Pytorch
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advanced data science, using state-of-the-art human stem cell models to uncover previously unrecognized environmental risk factors for Parkinson’s Disease. You will, in close collaboration with a PhD student
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, large language models, or computer vision is preferred Knowledge, Skills and Abilities: · Teamwork: Ability to collaborate with others and contribute to a team environment · Communication
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motivated research assistant with a PhD degree and interest in bioinformatics or computational biology. The candidate will develop methods using liquid biopsy next generation sequencing data for cancer
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., R, Python, SAS, or STATA) Experience working with large population dataset (e.g. EHR, claims data) Background in health informatics, population health research, or biostatistics, computer science
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major hurdles in the use of genomic data in public health – access to big data sets, the technology to analyse these data, and the knowledge to interpret the results. In this role, you will develop
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assays such as light/dark, von Frey, and facial grimace. Additionally, the successful candidate must possess technical proficiency in MATLAB and Python for data analysis and processing Duties to include
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Are you passionate about using data science and machine learning to address mental health inequalities in rural and coastal communities? The University of Lincoln is seeking an ambitious
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research team spanning the nation, working on large-scale assessment development, educational data analysis, and professional development resources for STEM instructors. Duties and Responsibilities Conduct
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at the intersection of artificial intelligence, multi-omics integration, and cellular systems modelling. Based at the Big Data Institute (BDI) at the University of Oxford, the successful candidate will join the Ideker