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Field
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++, maintained on github and configured via python. You will work with .root files and explore different event generators as well as machine learning tools and algorithms. The nature of LDMX as an international
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other Harvard Medical School-affiliated hospitals. Analyze sequencing data, for example from RNAseq, ssRNAseq, and ChIPseq experiments Deploy existing programs and algorithms to evaluate other
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proofs obtained via state-of-the-art theorem provers and model-checkers. There will be a need to develop novel synthesis algorithms that can scale. There will be a need to fine-tune foundational models
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working with ML/DL platforms and algorithms. Track record of working with domain experts, researchers, and stakeholders to support diverse science and engineering applications. City: Piscataway State: NJ
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of such systems, but this is driven from the fundamental theoretical knowledge that underpin them. You will be co-creating new models, algorithms and schemes to advance the field of joint sensing and communications
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underlying system Addressing process specific nonlinearities and system-theoretic properties to develop novel control and machine learning algorithms for edge computing Active collaboration with our industrial
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Continuous communication with the scientists & users to understand the problem to be solved Informal algorithm specifications and requirements engineering with internal & external stakeholders Engagement in
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Requisition Id 15000 Overview: We are seeking an Associate R&D Staff member who will focus on algorithmic tools for process monitoring, diagnosis, and control. This position resides in the Sensors
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closely with the PI in the development of analytical strategies to achieve the laboratory goals, including optimization of current algorithms used to determine transcription factor binding dynamics
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comparison of predictive algorithms—such as Random Forest and LSTM neural networks—for use in genetic material recommendation systems. Working as part of Camcore’s data science team, the selected candidate