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Qualifications: We seek exceptionally strong candidates with a PhD in statistics, biostatistics, computer science or a related field. Candidates with demonstrated accomplishment in academic research, as can be
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ExperienceNone Research FieldHistory » History of scienceYears of Research ExperienceNone Additional Information Eligibility criteria • PhD in Applied Mathematics, Data Science, or Statistics • Expertise in
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, United States of America [map ] Subject Area: Mathematics and Statistics Appl Deadline: 2025/11/01 11:59PM (posted 2025/09/08, listed until 2026/03/04) Position Description: Apply Position Description The Mathematics
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for the Research Associate, Grade 7 level, position must have a PhD in a quantitative biology discipline, statistics or machine learning along with a proven track record of research using statistical modelling
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satisfactory performance and funding availability. Applicants should possess a PhD degree in epidemiology, biostatistics, applied mathematics, data science or other related disciplines. They should have strong
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] Subject Area: Statistics and Machine Learning Appl Deadline: 2025/12/01 11:59PM (posted 2025/09/04, listed until 2026/02/01) Position Description: Apply Position Description The Department of Mathematics
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from all backgrounds to join our community. The Department of Information and Communications Engineering is now inviting applications for a Postdoctoral or Doctoral Researcher in statistical signal
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phenotyping, statistical modelling, and mechanistic simulation models. This particular postdoctoral position focuses on developing and implementing a novel faba bean crop module within the DAISY soil-plant
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as soon as possible for one or two years on temporary term basis, with the possibility of renewal subject to satisfactory performance and funding availability. Applicants should possess a PhD degree in
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, statistics, and interpretation. A strong team player. Ability to communicate in a clear, concise manner orally and in writing. Ability to participate at scientific conferences and present findings. Knowledge