12 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at Empa
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combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real-world energy applications, the project aims to better capture the dynamics of urban infrastructures
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be considered. Where to apply Website https://academicpositions.com/ad/empa/2026/phd-position-in-operational-feasibil… Requirements Research FieldComputer scienceYears of Research Experience1 - 4
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essential, while experience with machine learning is advantageous but not strictly required. Excellent English skills, both in verbal and written communication, are required for the project. We are looking
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Ph.D. Position in Organic Chemistry, Polymer Chemistry, and/or Sol–Gel Chemistry & Materials Science
not be considered. Where to apply Website https://academicpositions.com/ad/empa/2026/phd-position-in-organic-chemistry-po… Requirements Research FieldChemistryYears of Research Experience1 - 4 Research
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these exclusively via our job portal. Applications by e-mail and by post will not be considered. Where to apply Website https://academicpositions.com/ad/empa/2026/postdoctoral-researcher-in-peri-urba… Requirements
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, diplomas with transcripts and contact details of two referees. Please submit these exclusively via our job portal. Applications by e-mail and by post will not be considered. Where to apply Website https
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. Applications by e-mail and by post will not be considered. Where to apply Website https://academicpositions.com/ad/empa/2025/phd-position-on-antimicrobial-materi… Requirements Research FieldChemistryYears
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Engineering » Computer engineering Engineering » Control engineering Engineering » Electrical engineering Engineering » Industrial engineering Engineering » Materials engineering Engineering » Mechanical
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library. Strong interest in machine learning, reinforcement learning, and fluid dynamics. Ability to work independently and collaboratively in an interdisciplinary team. Excellent command of English, both
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thermoplastic feedstocks for FDM printing Programming of an existing hybrid FDM printing machine, including printing and milling devices Modelling and optimization of the debinding process Simulation-based design