573 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions in Netherlands
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quantitative methodological skills in handling detailed spatial data, including various econometric techniques and machine learning approaches; a thorough understanding of empirical, explanatory research; a
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of these datasets with state-of-the-art computational methods. The successful candidate will collaborate with 2 PhD students on the project. Where to apply Website https://www.academictransfer.com/en/jobs/357581
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., high performance, functional array programming DSLs) to tackle challenging probabilistic and differentiable programming applications (e.g., experimental design, machine learning for science). We do so by
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unsolicited services. Where to apply Website https://www.academictransfer.com/en/jobs/358753/researcher-position/apply/ Requirements Additional Information Website for additional job details https
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on development of tools for i) improved imaging, ii) characterization of metabolism, and iii) monitoring of protective and -restorative therapies. Where to apply Website https://www.academictransfer.com/en/jobs
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these challenges by: Developing predictive workload, lead-time estimation, material planning models to capture the high variability in HMLV environments using hybrid AI (combining machine learning, feature-based
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to the collaborative nature of the project, regular physical presence is expected Where to apply Website https://www.academictransfer.com/en/jobs/358284/phd-position-just-production-ar… Requirements Specific
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vision, machine learning, and related fields Lead and contribute to multidisciplinary projects with clinicians, scientists, and industry partners. Secure funding, publish in leading journals, and present
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Website https://www.academictransfer.com/en/jobs/358285/phd-in-environmental-epidemiolo… Requirements Specific Requirements We are looking for a motivated candidate with: An MSc in Epidemiology, Public
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the potential of land use management to contribute to sustainable future development pathways. Your work is, focussed on the use of innovative spatial methods and models. Together with colleagues you teach