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lead the design, statistical optimisation and validation of assays for clinically relevant bladder cancer targets. Their central objective will be to develop an algorithmic workflow to detect new target
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University): Quantum Computation & Quantum Algorithms https://youngseok-kim1.github.io/ykim.github.io/ 3. RESEARCH AREAS [Condensed Matter Physics] - Quantum topology and geometry - Topological materials
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Genomics at Harvard Medical School Several positions are available in the Park Lab (https://compbio.hms.harvard.edu/ ). The aim of the laboratory is to develop and apply innovative computational methods
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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
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Objectives: Development and implementation of computer vision and active learning algorithms for sign languages, including (i) a pipeline for the ingestion and extraction of visual gesture features
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status - expressed through markers such as likes, ratings, endorsements and algorithmic signals - is created, interpreted and translated into social and economic advantages. The project uses a multi-method
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uncertainty. Utilize machine-learning and data-mining approaches to recommend bioengineering interventions. Develop new machine-learning algorithms. Integrate machine learning techniques with mechanistic
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and data analytics; Development of marine geophysical survey and machine learning algorithms; Process geophysical/geomechanical data and analyze the data using machine learning; Conduct research
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models, and efficient algorithms for large-scale genomic data analysis. This is a one-year appointment starting as early as possible, with renewal possible based on the availability of funds, availability
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. Formulate detailed R&D experimental plans and carry out system setup, signal acquisition and processing, as well as algorithm design, implementation, and optimization. Assist the team in the establishment