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companies. Hybrid & Data-Driven Modeling: Apply machine learning and hybrid physics-AI approaches to model industrial systems, accounting for physical constraints, sensor noise, and heterogeneous datasets
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Experience and skills · 1-2 years of post-PhD research and engineering experience · Excellent knowledge in information security, particularly in machine learning for cybersecurity
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projects Ideally, experience contributing to or managing open-source software projects Knowledge of both the basics and the latest developments of machine learning, in particular large language models and
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-doctoral experience in bioinformatic research • Strong expertise in omics analysis and machine learning • Strong publication track-record in fungal biology, preferably with
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Experience and skills · 1-2 years of post-PhD research and engineering experience · Excellent knowledge in information security, particularly in machine learning for cybersecurity
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Luxembourg Institute of Science and Technology (LIST) | Luxembourg, | Luxembourg | about 2 months ago
through polymer physics, advanced characterisation, molecular modelling, machine learning and artificial intelligence. How will you contribute? Working closely with the Science Director, the Valorisation
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SD-26109- POSTDOCTORAL RESEARCHER IN AI-BASED ENERGY MANAGEMENT OF RESILIENT MICROGRIDS WITH SECO...
systems and microgrids - Battery energy management systems - Renewable energy integration - Control systems - Artificial intelligence or machine learning for energy applications Experience and skills
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scientific excellence and applied research to design solutions that address real-world challenges and create positive impact. Do you want to know more about LIST? Check our website: https://www.list.lu/ You