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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
for multiple-object tracking," IEEE TPAMI, 2022. 4. L. Vaquero, Y. Xu, X. Alameda-Pineda, V. M. Brea, and M. Mucientes, "Lost and found: Overcoming detector failures in online multi-object tracking," ECCV, 2024
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or a closely related discipline. Knowledge of genetics and genomics and a passion for applying quantitative approaches to biological and medical research questions. Strong expertise in (Bayesian
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of protein-based materials and biocatalysts using synthetic cells. A key objective is the bottom-up construction of synthetic cells that are capable of sustained protein production. This is a formidable
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for mining, classifying, and forecasting from heterogeneous data sources Spatial-temporal statistics/modelling from heterogeneous data (Bayesian hierarchical models, autoregressive models, random fields
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. Desired Experience: Experience with generative AI methods for molecular design, graph neural networks, protein language models, foundation models, active learning, Bayesian optimization, or reinforcement
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architectures), determination of optimal embeddings and encodings for protein structures, multiple alignment methods, Bayesian dendrogram reconstructions, and benchmarking including jackknife resampling. Position
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data science approaches includes the application of Bayesian inference or probabilistic machine learning to geophysical models. UiO is subject to the Security Act, which governs the organisation's
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. Application of Bayesian mixing models to investigate consumer diets and food web pathways Requirements To meet the general entry requirements you must have been awarded a second-cycle (Master’s) qualification
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. Documented research experience in modern deep learning (e.g. generative models, Bayesian deep learning or large pre-trained models) and excellent programming skills in Python and a modern deep learning
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. Our department is internationally recognized for its research in statistical methodology and theory, machine learning, applied statistics, Bayesian inference, and biostatistics, and its faculty