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Infrastructure? No Offer Description Area of research: PHD Thesis Job description: Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use
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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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), with a focus on machine learning, deep learning, or AI. Solid mathematical, algorithmic, or physics background, distinct analytical skills. Very good programming (Python, C++) and computer (Linux
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the racial justice implications of technology and algorithmic decision-making tools in the criminal legal system and other systems that govern people’s lives; challenging the forces that drive racial
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manipulation in microfluidic environments Design and implement reinforcement learning algorithms for control and manipulation, first in simulation and later on real experimental setups Refine a real-time
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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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(NeoShield Clinical Decision Support Algorithm). Further particulars are included in the job description. The post is full-time 35 hours per week, 1.0 FTE and fixed-term for 24 months, with potential
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(NeoShield Clinical Decision Support Algorithm). Further particulars are included in the job description. The post is full-time 35 hours per week, 1.0 FTE and fixed-term for 24 months, with potential
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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