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Field
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Perrimon’s group in the Program of Genetics at Harvard Medical School. Perrimon lab is actively generating data sets of omics scale and this position will involve working with other post-doc trainees in
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and optimize advanced signal processing algorithms for joint communication and sensing. Analyze experimental datasets, extract statistical models, and compare findings across environments, hardware, and
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: Strong programming skills in Python (NumPy, pandas, PyTorch or TensorFlow) Machine learning fundamentals and algorithmic thinking Ability to design and implement computational experiments Clear technical
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such as text, tabular, genetic, environmental, wearable, or image data. Strong publication record in medical and/or biomedical informatics related journals and conferences Preferred Qualifications
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The Associate in Research will be responsible for using and developing computational algorithms to analyze single-cell and spatial-omics datasets. Specifically, we have multiple projects where we are generating
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, quantitative genetics, and large-scale omics data, etc. Develop next-generation breeding algorithms and decision-making engines for crops, livestock, poultry, and aquaculture applications. Create original AI
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of complex and large-scale genomics data, including (but not limited to) WGS and transcriptomic data (including single-cell RNA-seq and spatial transcriptomics data). Use computational tools and algorithms
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chromatography/mass spectrometry (LC-MS) measurements using principal component analysis, partial least squares, genetic algorithms, and other multivariate statistics. Current projects have accumulated a
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Scientist to join our center. The ideal candidate will focus on the development and maintenance of advanced pulmonary MRI and CT image processing algorithms and AI solutions aimed at improving lung disease
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critique that impact, students need to understand the fundamentals of computing, framed in this course as manipulation of text, creation of algorithms, and generation and analysis of Web pages. Students