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- Carnegie Mellon University
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algorithms. Requirements Research FieldMathematicsEducation LevelBachelor Degree or equivalent Skills/Qualifications Required skills: · Degree in statistics, data sciences, mathematics, or related disciplines
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, statistics, physics, biostatistics, bioinformatics or computer science.Type of contract: Temporary.Job status: Full-time.Duration: 36 months.Application deadline: 15/05/2024 23:59 - Europe/Brussels.Envisaged
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, geography, or a related field. Prior experience in field sampling, with knowledge of water quality sampling considered advantageous. Proficiency in statistical analytical tools such as R, Python, SPSS
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" or R4 - "Leading" knowledge of the English language at C1 level experience with administrative work related to the management of work teams advanced experience in statistical data processing
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collaborative research with faculty to be presented at academic forums and published in peer-reviewed academic journals. Collects data and conducts statistical analysis. Conducts literature reviews and performs
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, Computer science, Mathematics, Statistics, Engineering or related fields) interested in learning and developing Network and Machine Learning tools for the analysis and construction of Knowledge Graphs
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master’s degree in a relevant discipline (Physics, Computer science, Mathematics, Statistics, Engineering or related fields) interested in learning and developing AI-assisted tools for information extraction
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will supervise the mechanistic aspects of the project.•Dr. Douwe Molenaar, associated professor is an expert in microbiology, bioinformatics and multivariate statistics. He will supervise the data-driven
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. Publishing in international journals Required selection criteria We are looking for a Researcher (Code 1109), hence you must have completed a Norwegian doctoral degree in artificial intelligence, statistics
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astrophysics, biophysics, condensed matter physics, gravitation, cosmology and astroparticle physics, high-energy physics, and statistical physics/complex systems. The research activity of the local academic