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on neural networks whose parameters are trained on simulations (SBI — Simulation-Based Inference). The recruited person will work within the ZTF, LSST/DESC and Lazuli collaborations to implement cosmological
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MINDLAB stands for “Manipulating and Investigating Neural Dynamics for Learning and Ageing in the Brain” and is an interdisciplinary creative playground rooted squarely in academic rigor, comprising
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), the Research Unit FOR 5289 (From Imprecision to Robustness in Neural Circuit Assembly), or the Research Training Groups 4R (R-Loop Regulation in Robustness and Resilience) and GenEvo (Gene regulation in
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-level approach, from genes and molecules to neural networks and psychosocial systems”, PN-IV-P6-6.1-CoEx-2024-0139 Where to apply E-mail [email protected] Requirements Research FieldPsychological
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molecules to neural networks and psychosocial systems”, PN-IV-P6-6.1-CoEx-2024-0139 Where to apply E-mail [email protected] Requirements Research FieldNeurosciencesEducation LevelMaster Degree
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Experience (Required) Programming Experience in Large Learning Models and Neural Networks (Preferred) 1. Knowledge of sterile techniques used in tissue culture. (Required) 2. Knowledge and skill to manage
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modelling, or live neural imaging is desirable Experience working with neurons and knowledge in neurobiology is desirable Track record of international mobility is highly valued Publication record is
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world models with generative AI and theory-informed neural networks. Job Responsibilities: Conducting theoretical and empirical studies on economic world models, with a strong emphasis on critical finance
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graph neural networks, the candidate will develop AI seasonal prediction models that maintain numerical stabilityand physical consistency in integrations extending up to three months. The candidate will
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of uncertainty in reward-guided decision-making. 2024.03.27.587016 Preprint at https://doi.org/10.1101/2024.03.27.587016 (2024). 6. Walker, E. Y. et al. Studying the neural representations of uncertainty. Nat