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-precision vertexing and tracking of charged particles. Past and current projects include the upgrades of the Inner Tracking System (ITS) for the ALICE experiment at the Large Hadron Collider (LHC) at CERN
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cutting-edge big/deep data analysis methods, including machine learning and artificial intelligence. The ideal candidate will therefore have a strong background in data science and in the application and
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experience. Special Instructions: A cover letter, resume, and contact information for three professional references (to include at least one previous supervisor) are strongly recommended. You may upload all
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drive change and effectively communicate change. Detailed oriented and capable of managing large amounts of data, maintain detailed comprehensive records, analyze and organize information, have effective
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
Understanding the individual and relative motion of particles is fundamental to understanding transport processes in complex flows. Large-scale transport in atmospheric flows is well understood and measured by
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responsible for the teaching and research in computer science at the University of Helsinki. The main research fields at the department are artificial intelligence, big data frameworks, bioinformatics, data
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required Working knowledge of all aspects of planning and deploying an AI project, including initial problem specification, data gathering and analysis, model creation, and implementation Strong
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 27 days ago
include: * Designing and carrying out studies; * Analyzing and interpreting data; * Publishing papers describing these results, all with the mentor. Career development of the Postdoctoral Trainee will be
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for agriculture, offering a key solution for Europe's climate and energy transitions. Conventional ammonia synthesis via the Haber-Bosch process is operated at large scale (over 160 million tons
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, epidemiology, biostatistics, genomics, big data analytics, or artificial intelligence analytics Be familiar with conducting analysis with different types of data, including metagenomics sequencing, genomics