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Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use machine learning (ML) along with data from previously solved problem
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: Design hierarchical models that explicitly capture misspecifications in metabolic models Develop differentiable and scalable inference algorithms using automatic differentiation Implement HPC-tailored
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physics-aware simulations of growing cell populations, including their spatiotemporal manipulation in microfluidic environments Design and implement reinforcement learning algorithms for control and
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No. 1 scholarship grant for scientific training activities at INFN Structure of Roma for the following research topic: “Development and FPGA Implementation of Neural and Traditional Algorithms
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, time series filtering and analysis, turbulent heat fluxes, Reynolds averaging, direct covariance fluxes and bulk flux algorithms. Transferable Skill Development OSU is committed to ensuring students
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University Centre for Energy Efficient Buildings, Czech Technical University in Prague | Czech | about 2 months ago
and embedded SW (PCB Layout, C/C++) Creation of algorithms for data evaluation and control – deployment of AI tools What do we expect? University degree in a technical field Also open to graduated
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of movements via accelerometer data and evaluate how current and emerging socio-technical systems respond to and influence situated particulars in human-algorithm interaction. Furthermore, projects that at how
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the execution of the following tasks related to modelling the incineration process of the pilot units, with the following main objectives: - development of evolving algorithms based on Machine Learning