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of the Collaborative Care Model. Job Responsibilities Provides evidence-based behavioral health interventions and psychoeducation. Assesses and systematically collects and tracks data in a patient registry related to
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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e.g., ultra-cold gases of bosonic or fermionic atoms, machine learning technologies and quantum computing. At the same time, we work in close connection with IJCLab experimentalists, particularly
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, scikit-learn). Expert-level knowledge of data warehousing, database technologies (SQL/NoSQL), and data modeling for machine learning. Strong understanding of containerization and orchestration technologies
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, maintenance of mouse lines Writing scientific articles Where to apply Website https://www.irblleida.org/en/jobs/476/senior-research-technician-with-bachelor-… Requirements Research FieldMedical sciences
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The mission of Hidden Valley 4-H Camp is to provide youth with a fun, residential camp experience under the guidance of positive role models that emphasize community building, positive social
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the Institute of Psychiatry, Psychology, and Neuroscience (IoPPN) in KCL. The candidate is required to: Have a PhD in Signal Processing, Machine Learning, or Bioengineering from a reputed university. Have a
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; Experience with machine learning techniques and models such as classifiers, transformers, clustering, etc.; Experience with graph theory and graphic libraries such as Gephi or NetworkX; Familiar with UNIX
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computing systems design and realization, including machine learning (ML) and artificial intelligence (AI) applications including autonomy, sensing and communication, advanced manufacturing, and decision
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on the development of methodologies and techniques of Evolutionary Computation and Machine Learning. V - Initial grant duration: 3 months V.I - Renewal Possibility: Possibily renewable VI - Funding and financial