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Duties Teach Business Statistics/Operations Management/Operations Research and related subjects at undergraduate and postgraduate levels (including potential evening classes); Serve as subject
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Employee Assistance Program For more information check out our benefits page! Your new team - School of Mathematics and Statistics http://www.ms.unimelb.edu.au The University of Melbourne's School
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: you will divide your time in equal shares between teaching GISc at bachelor and master levels, and advancing research about the integration of statistical movement models with predictive simulation
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 4 days ago
Contribute to advancing the MiROS technology from prototype to real-world application Your profile PhD (or MSc with strong experience) in electrical engineering, physics, biomedical engineering, computational
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a passion for teaching, research, and supporting student success. You will bring: A MSc in data science, computer science, statistics, or a closely related discipline. Experience teaching at tertiary
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in International Airline and Airport Management and on our MSc in Air Transport Management, as well as to other teaching and administrative activities within the discipline. All candidates should hold
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Department of Applied Mathematics Research Assistant Professor in Optimization and Operations Research / Statistics and Data Science / Financial Mathematics / Engineering and Computational
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and empirical studies. Assist PI in various data analytics tasks. Job Requirements: MSc/MEng in Electrical Engineering, Computer Science, Statistics, or other related fields. Familiar with data
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9 Mar 2026 Job Information Organisation/Company Université Paris Cité Department Center for Research in Epidemiology and Statistics (CRESS) Research Field Medical sciences » Epidemiology Biological
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pipelines, and apply advanced statistical and ML modelling techniques. Engineer, train, fine-tune, and optimize ML/DL models with a focus on explainability and performance. Apply MLOps and software