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Field
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TEC. 2. OBJECTIVES: Collaborate with clinical partners in data collection and annotation Design and implement new deep learning solutions for the analysis of heart sound auscultation, electrocardiogram
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developing deep-learning systems; graph neural networks & representation learning (VAEs/transformers) preferred. Experience in statistical modeling & ML for high-dimensional data (training, evaluation
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projects across the following areas: Spatial and Single-Cell Proteomics in Childhood Cancer Cell-cell communication & cellular fitness in CAR-T & CAR-NK therapy Deep learning & LLMs in mass spectrometry data
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Postdoctoral Research Fellow in Artificial Intelligence (AI) and Deep Learning (DL) for Extreme Weather Prediction, Climate Adaptation, Flood Forecasting, and Water Resources Planning. The successful candidate
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have experience with applications of machine learning and deep learning on medical image data that you have experience applying methods within generative artificial intelligence to medical images and
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knowledge of Efficient Learning for computer vision Coding Skills: Familiar with any of the major deep learning libraries, including Pytorch We regret to inform that only shortlisted candidates will be
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development to prepare fellows for a successful career in the pharmaceutical industry. Learning Objectives: Develop deep expertise in the principles and practices of scientific and medical communications
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required. Substantial experience in machine learning, Python and R programming, and familiarity with deep learning packages (e.g., TensorFlow, Keras, or PyTorch) are essential. Additional Qualifications
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. Learning Objectives: Develop deep expertise in the principles and practices of scientific and medical communications. Understand the strategic role of communications in product lifecycle management. Gain
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teaching, tutorial and laboratory as may reasonably be assigned by the Principal Person Specification Capability to carry out research more than one of the following areas: AI and Deep Learning in Healthcare