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knowledge of process systems engineering. The position aims to advance physically consistent and predictive thermodynamic modeling, including the integration of advanced machine learning methods, to support
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California State University, Northridge | Northridge, California | United States | about 19 hours ago
the CSUN community can offer. If this sounds like you, you’ve come to the right place. Learn more: https://www.csun.edu/about-csun . We are seeking a senior technical contributor responsible for architecting
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opportunity to work in a top-tier interdisciplinary setting. This is what you will do You will develop predictive computational models to capture the formation and heterogeneous structure of microthrombi, with
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and propose meaningful and testable hypotheses, grounded in disease biology. Perform end‑to‑end processing, quality control, integration, and analysis of single‑cell and multimodal omics datasets (e.g
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open to candidates with a strong interest in either: i) Radio/physical-layer intelligence (e.g., channel estimation, CSI prediction, edge-deployable deep learning), or ii) Networking and control-plane
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, diesel generators, and other sources. Implement predictive, rule-based, or optimisation-based control strategies using MATLAB/Simulink, Python, or embedded software tools. Integrate controller logic with
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, localization, identification of faults, and failure prediction) and reconfiguration or adaptation procedures (reconfiguration of control or objectives, fault-tolerant control) in the event of a detected failure
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the UW Facilities web page for more information: https://facilities.uw.edu/ . Maintenance & Construction (M&C) is responsible for general maintenance, repair, and renovations of all University
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parameters using experimental muscle and neural recordings Explore motor control policies that replicate observed behaviours Test simulation predictions against muscle ablation experiments Investigate how
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 4 days ago
; Predict biological age based on DNA methylation clocks or other clocks; Leverage single-cell RNA sequencing (scRNA-seq) to study the heterogeneity of aging and identify specific populations of immune aged