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more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Development of statistical methods for estimating plant population size and change Mathematical
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information about our institute here: https://www.fz-juelich.de/en/ias/ias-8 Your Job: Develop 3D+t image reconstruction methods in a cell microscopy setting using image sequences as well as focus stacks
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 8 days ago
compréhension des processus physiologiques au niveau moléculaire et pour l'amélioration des approaches théoriques pour le traitement des maladies. Le groupe de recherche hôte (https://sites.google.com/site
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“HORIA HULUBEI” National Institute for Research and Development in Physics and Nuclear Engineering | Romania | 4 days ago
) announces a vacancy notice for an Doctoral research assistant position within the Project PCE 65 - „Magnetic resonance methods for new observation timescales in the detection of radiation dose-rate response
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theorem provers such as Coq or Isabelle/HOL. Proof Automation. We plan to develop formal methods for automatic reasoning that can be materialized into commercial tools. Responsibilities Participate in and
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methods. In the latter case, estimates and causal inferences will be made, and natural experiments will be analysed using econometric techniques. The project also includes dissemination activities and the
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
Proposed Start Date 03/16/2026 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public service
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will join a dynamic, interdisciplinary team focusedon developing and applying novel AI and statistical methods for multi-omics data analysis. This position offers a unique opportunity to work at the
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), (c) estimation methods for latent variable models (e.g., two-step approaches or approximate maximum likelihood estimation), or (d) meta-analytic models to address complex data structures (e.g., spatial
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Plan through all phases from planning, design and construction. Responsibilities include implementing best practices for construction project delivery including scope, schedule, estimating and budget