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(Spiegel et al. Nat Med 2021, Majzner et al. Nature 2022, Frank et al. Lancet 2024). We have generated a wealth of single-cell sequencing, spatial, clinical, and other types of data from these and other
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will be determined based on factors including (but not limited to) the qualifications of the selected candidate, budget availability, and internal equity. Pay Range: $86,100 Aligning Machine Learning
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methodological approaches to improve the diagnosis, treatment and earlier detection of cancer. He/she will analyze and interpret large sequencing datasets by applying and developing bioinformatics and statistical
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of Cardiovascular Medicine), and Dr. Jon Bernstein (Division of Medical Genetics). At GSS, research participants who remain undiagnosed after exome sequencing will undergo short-read and long-read genome sequencing
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, biologics, and cannabis. Apply statistical and machine learning approaches (e.g., sequence analysis, latent class analysis, clustering) to examine medication use trajectories and patient subgroups
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sequence programming (ex: Pulseq) Python, MatLab, C++, etc PyTorch, TensorFlow ML Ops Required Qualifications: MD, PhD, or equivalent Technical interest & expertise in MRI Required Application Materials: CV
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to manage multiple activities in a deadline-oriented environment; highly organized, flexible and rigorous attention to detail. Expert ability to collect data using a variety of methods, such as data mining
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MSx value proposition and develop custom strategy for rolling out and amplifying its message. Lead team to oversee multiple channels including prospect-facing websites and portals, admitted-student
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& Cross-functional Collaboration Manage and mentor a high-performing team Provide direction, feedback, and support to ensure team goals align with organizational and institutional priorities. Collaborate
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biology techniques including PCR, plasmid cloning, ordering DNA, sequencing plasmids, performing mammalian cell culture, generating and purifying viral vectors, maintaining HEK and Jurkat cell lines, and