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Field
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(photomixing). The candidate will work primarily in the IEMN cleanroom, developing and optimizing micro/nanofabrication process flows for laser device realization. A first research axis will focus
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, such as heterogeneity of data sources and communication constraints. By leveraging tools from statistical signal processing, machine learning, optimization, and mathematical modeling, the project aims
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Operations Research and Operations Management, such as network theory, combinatorial optimization, and econometrics. The project pursues three interrelated aims: first, to characterize how network structure
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hardware architectures. The applications domains are diverse, ranging from AI for science, over AI for semiconductor process technologies to automotive and health applications. Within this department
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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | 4 days ago
experience in: • Cell culture techniques. • Genomics and sequencing technologies. • Quality management systems. • Use of computer applications and databases. • Statistical analysis. Desirable qualifications
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: Engineering design & CAE (e.g., structural/thermal/fluids workflows) Chemical and process industries (e.g. optimization, control, surrogate models) Related computational engineering problems where simulation
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Identification of mathematical models for the fluid flow and flow patterns Estimation and soft-sensing of non-measurable process variables Optimization and learning control of the flow by manipulating the plug
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bounds. Design transmission codes that achieve these theoretical limits, ensuring optimal trade-offs between detection avoidance, sensing accuracy, and communication reliability. Develop advanced
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fellows and students, maintaining laboratory equipment, contributing to in vivo experiments in small animals (mice), and leading optimization studies using existing biological data within the CTRC. Propose
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Bayesian optimization and other active learning techniques to guide experimental efforts by identifying optimal chemical compositions and processing conditions of membranes that maximize both selectivity and