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Infrastructure? No Offer Description We are now looking to appoint a PhD student in Ionic Thermoelectrics and Electrochemistry for Thermal Energy Harvesting, placed at the Department of Science and Technology
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staff position within a Research Infrastructure? No Offer Description We are now looking to appoint a PhD student in Mixed Ionic–Electronic Materials for Thermal Energy Harvesting, placed
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scales from microchannels to full rack systems (5.) Develop physics and AI-based models to elucidate physics, perform optimization, and create surrogate models for system level simulators (6.) Participate
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 15 days ago
Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Sep 2026 - 23:59 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer
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mass and extracted material and can thus provide engineers and decision makers with important information for safety and productivity optimization. Your mathematical, analytical and problem-solving
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PhDs form the scientific/technological backbone, jointly addressing microbial contamination and physicochemical variability as interconnected drivers of quality loss. PhD1 (KU Leuven - UNIMUS
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base. The Department of Energy and Process Engineering is one of eight departments in the Faculty of Engineering. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/307684/phd
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and material properties, and proposing optimized growth parameters. Qualification requirements Appointment to a post-doctoral position requires that the applicant has a PhD, or an international degree
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activities to promote a strong multi-disciplinary and international network between PhD students, postdocs, researchers, and industry. Read more: https://wise-materials.org The employment This employment is a
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optimize experimental protocols, analyze complex datasets, and contribute to scholarly publications. Emphasis is placed on artificial intelligence/machine learning approaches applied to digital data and