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how natural selection shapes sex-specific immune strategies. The goal is to generate quantitative predictions testable against empirical data from diverse ecological contexts. We use methods from
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such as 10X Visium and Xenium. - Perform quality control, normalization, spatial clustering, and feature extraction. - Apply tools for spatial gene expression visualization and interpretation. Single-Cell
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Postdoctoral Positions in PFAS Analytics, Degradation, and Thermophysical Properties - DTU Chemistry
thermophysical properties vary across the diverse PFAS chemical space and how these properties may be predicted using computational models. These positions offer an excellent opportunity for early‑career
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that integrate prediction and control algorithms, optimizing data transformations, offloading and distributed computing, and exploiting mechanisms such as network slicing and multi-access edge computing
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, socioeconomic context, and health data to understand, predict and prevent cardiovascular, neurovascular and other non-communicable diseases (NCDs) in the Brussels Capital Region. Research Context Urban
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Intelligent Control Systems RESPONSIBILITIES Develop industrial process digital twin models based on the fusion of mechanistic and data-driven approaches. Develop predictive maintenance and fault diagnosis
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Charité–Universitätsmedizin Berlin (Dr. Rosanna Sammons); for further information, see https://www.sfb1315.de/ - development of network models of the CA3 region of the hippocampus - investigation
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University Abu Dhabi invites applicants to apply for the open Post-doctoral Associate position to perform primarily research on Reinforcement Learning, and/or Optimal Control, and/or Model Predictive Control
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Purpose: Maximize maintenance crew productivity across shifts and work groups through effective, customer-oriented scheduling while controlling the backlog of emergency, routine, renewal, and preventive
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or intervention strategies are lacking, urging the need for new perspectives on pathogen control. Within this project these perspectives will be explored. To predict correlates of disease against these complex