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entitled “Beyond Data-Augmentation: Advancing Bayesian Inference for Stochastic Disease Transmission Models”. The overarching aim of the project is to develop the next generation of statistical tools
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from a variety of supervisory models, with particular attention given to the clinical supervision model. Qualifications: - Master's degree required; Doctorate preferred - Minimum of 5 years of experience
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17 Mar 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Modelling tools Geosciences » Geology Geosciences » Hydrology Researcher
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PhD researcher in AI:GENOMIX, you will contribute to next-generation models that rethink polygenic prediction and support the future of precision medicine. AI:X is an ambitious initiative at Aalborg
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work in strategic directions that are of significant impact to industry, science and technology. For more details, please view https://www.ntu.edu.sg/cee We are looking for a Research Associate to join a
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complex queries using SQL. Advanced knowledge to perform statistical tests and create models (T-tests, ANOVA, regression models) Ability to visualize data into interactive tables and charts, preferably
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intelligence methods and models suited to the objectives of monitoring and predictive maintenance. Data collection, structuring, and preparation: Setting up pipelines for collecting operational and expert data
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Science, or related field Knowledge of flexible antennas, wireless communications, and machine learning Good skill set in signal processing and optimization techniques Proficiency in Python for modeling and machine
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large environmental and ecological data sets, incl. empirical, remote-sensing and simulated model data knowledge in programming languages (UNIX, C, or similar) and script-based programming (R, Python
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datasets and use it to power a vision foundation model capable of accelerating discovery across the life sciences. We're seeking a skilled Data Engineer to drive scientific innovation through robust data