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Details Title Postdoctoral Fellowships in Networking Support for Machine Learning School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position
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Details Title Onnela Lab Postdoctoral Research Fellow Position in Network Science / Causal Inference School Harvard T.H. Chan School of Public Health Department/Area Biostatistics Position
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, software engineers and bioinformaticians as we develop and leverage technological breakthroughs to explore the biology of complex systems. Principal Responsibilities include 1.) Design and implement reusable
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such datasets. In addition, this position involves working with DRSC/TRiP functional genomics core, a multi-disciplinary team of biologists, software engineers and bioinformaticians as we develop and leverage
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to mentor junior lab members (interns, Master’s and PhD students) and Occasionally participate in teaching and outreach. Research Fellows typically stay in the lab for a period of around 2 – 4 years with
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to damage, with a primary focus on the endolysosomal system and mitochondria? What are the protein interaction networks that make up dynamic organelles? How do familial mutations in key organellar systems
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to mentor junior lab members (interns, Masters and PhD students) and occasionally participate in teaching and outreach. Research Fellows typically stay in the lab for a period of around 2 – 4 years with
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responsiveness, define cancer patient subpopulations most likely to benefit from therapy, and support biomarker-informed clinical translation. Develop, use, and evolve computational pipelines, including
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Qualifications PhD. required. Additional Qualifications Experience/interest in programming language, verification, artificial intelligence or machine learning. Individuals with a demonstrated track record in
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on understanding the earliest stages of high-grade serous ovarian cancer (HGSOC) by integrating spatial multi-omic profiling with computational analysis to define how precancerous lesions evolve into invasive