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conduct world-class applied research. We change and make a difference. Do you want to become one of us? About the faculty and research group Are you passionate about machine learning, signal processing, and
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efficient and scalable algorithms that can handle large-scale datasets. Tensor Analysis: Analyze the structure and properties of multidimensional networks represented as tensors. Investigate different
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to test the effectiveness of different courses of action. In addition, uses a variety of data mining and analysis methods, using a range of data tools, building and implementing models, using and creating
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The Position We are seeking an independent and motivated researcher for a Postdoctoral Fellowship in Aviv Regev’s lab to apply develop edge algorithms for analysis of single cell genomics profiles
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measurement capabilities, in many cases surpassing what is currently achievable from suborbital platforms. Importantly, each mission employs different measurement techniques, applied at varying resolutions and
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 2 months ago
://www.cmap.polytechnique.fr/~aymeric.dieuleveut/ ), professor at Ecole Polytechnique (Palaiseau). The successful candidate will implement and compare different distributed numerical optimization paradigms, that include
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algorithms for image analysis to facilitate and optimize early disease screening, diagnosis, and treatment. Ideal candidates should possess a M.S. or PhD (or equivalent) in computer science, mathematics
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in these programs including advanced courses in the areas of fixed income management, derivatives/risk management, econometrics, blockchain/cryptocurrency, financial analytics, and algorithmic trading
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is not a standalone concept and has close connections to diversity, transparency and bias. In this position, the PhD candidate will work on algorithmic fairness in job recommender systems
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cell-tracking algorithms, we can follow thousands of individual cells in real time as they respond to carefully designed chemical and mechanical cues. These approaches generate uniquely rich datasets