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Field
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). Responsible for the design, implementation and maintenance of data integration methodology, algorithms and software which allows for collection and augmentation of cancer patient information (treatment and
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of movements via accelerometer data and evaluate how current and emerging socio-technical systems respond to and influence situated particulars in human-algorithm interaction. Furthermore, projects that at how
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expertise and an established track record in machine learning across different data domains of mental and/or neurological disorders. Experience in analysing high-dimensional data such as structural and/or
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expertise and an established track record in machine learning across different data domains of mental and/or neurological disorders. Experience in analysing high-dimensional data such as structural and/or
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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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schedules Data Quality & Sampling Run NSM algorithm in R to generate samples Maintain tracking databases and monitor data accuracy Troubleshoot recruitment and performance issues Budget & Resource Management
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 1 day ago
to the activities to be developed in Portugal, with a particular focus on the port’s demonstrator. More precisely: Development of forecasting algorithms for different related variables, e.g., load demand, renewable
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occupational therapy. In addition to its modular design, its core innovation lies in a novel Motion Capture Algorithm (MCA) that precisely tracks individual phalange movements, unlike state-of-the-art (SOTA
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electrical power, enabling smart sensors to operate without batteries. You will explore novel capacitor-based rectifier architectures, adaptive impedance-matching algorithms, and on-chip protection mechanisms
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comparing models with entirely different structures and parameter counts, whether comparing linear regression against mixture models or decision trees. MML is strictly Bayesian, requiring prior distributions