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Field
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Bayesian prediction models with uncertainty quantification for trustworthy personalized treatment decisions in the T-PRESS Evidence Ecosystem Framework”. The primary objective of the T-PRESS consortium is to
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: Experience with novel or high-throughput characterization methods; accelerated stress testing and stability evaluation of thin-film photovoltaics; and data-driven experimental optimization, including Bayesian
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characterization (SEM, TEM, XPS, FTIR, etc.) Programming skills (Python, MATLAB, or similar) Exposure to machine learning methods (e.g., Bayesian optimization, active learning) is an advantage Understanding
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comparing models with entirely different structures and parameter counts, whether comparing linear regression against mixture models or decision trees. MML is strictly Bayesian, requiring prior distributions
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, drift-diffusion models, Bayesian methods). Interest or coursework in pharmacology, psychopharmacology, cognitive and/or affective neuroscience, or computational psychiatry. Experience with statistical
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, XRF, isotopic, and tephra analysis, alongside the construction of Bayesian age–depth models using radiocarbon, 210Pb, and tephrochronology. Candidates with experience in metagenomics (sedimentary aDNA
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, i.e. interconnected ecosystems). Recent developments have indeed sought to establish the link between scales using Bayesian dynamic networks (Trifonova et al. 2025). This article proposes a strategy
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Bayesian prediction models with uncertainty quantification for trustworthy personalized treatment decisions in the T-PRESS Evidence Ecosystem Framework”. The primary objective of the T-PRESS consortium is to
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that explicitly account for drift and open-set contamination. O2: Robust uncertainty estimation: Improve calibration and uncertainty reliability under drift (e.g., ensembles, Bayesian approximations, conformal
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, XRF, isotopic, and tephra analysis, alongside the construction of Bayesian age-depth models using radiocarbon, 210Pb, and tephrochronology. Candidates with experience in metagenomics (sedimentary aDNA