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Statistics, Mathematics or Computer Science (or a related field) with an emphasis on applied mathematics/statistics/machine-learning. Prior experience in the probabilistic machine-learning, neural-networks
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/engineering/our-schools/chemical-engineering Skills & Experience PhD in Engineering or Mathematics. Demonstrated skills and experience with process control and modern control theories including nonlinear
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, Instrumentation/Observation/Experiment , Interstellar Medium , mathematics , Neutrino Astronomy , Numerical Astrophysics , Numerical Simulations , Observational , particle astrophysics , philosophy of physics
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programming to promote and protect the health of British Columbians. We have a strong interdisciplinary group of epidemiologists, statisticians, infectious disease and public health physicians, mathematical
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
, Biology, Chemistry, Earth Sciences, Environment and Society, Mathematics, Physics, and Science Communication and is also home to a number of cross-disciplinary and specialist Institutes and Centres. Staff
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Job Description Position Details School of Chemistry, College of Engineering and Physical Sciences Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £36,636 to £46,049 with potential progression once in post to £48,822 Grade: 7 Full...
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Research Fellow Project Summary: Epigenomics and behaviour in dairy cattle We are seeking an excellent Research Fellow to be part of a research project on calf epigenomics and calf behaviour. The applicant will play a key role in the day-to-day management of a field trial collecting data on...
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5 Sep 2025 Job Information Organisation/Company INESC TEC Research Field Engineering Computer science Mathematics Researcher Profile First Stage Researcher (R1) Country Portugal Application Deadline
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are increasingly being adopted across the NHS. This role is particularly suited to candidates with a strong quantitative background. We welcome applicants with training in mathematics, statistics, health economics
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, biostatistics, epidemiology, data science, public health, mathematics, social sciences, or other quantitative disciplines Demonstrates interest in global health and health policy Strong quantitative competencies