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Field
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). The institute also maintains locations in Dedelow and Paulinenaue. The position will be based in the Research Platform “Data Analysis and Simulation“ within the Working Group “Ecosystem Modelling“ under
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, doi:10.1126/sciadv.adn3448 ) Maternal immune activation and fetal metabolic adaptation (Nat Commun 2024, doi:10.1038/s41467-024-48492-x ) Microfluidic models of pH and oxygen gradients in tumors
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. They will collaborate closely with the PI and the PhD students of the team, interact with international partners, and participate in the supervision and coordination of Master's interns involved in
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charging strategies for lithium-ion batteries. The goal is to integrate model-based (digital twin) and data-driven (AI) methods to design and experimentally validate optimized pulse charging protocols. A
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simulations (integrated modelling) can be used to better understand the dependencies obtained in scaling laws and better constrain them beyond the existing experimental space. This is the goal of the present
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Information Eligibility criteria The candidate must hold a PhD in physics, chemistry, or materials science. Skills in theoretical modeling (ab initio, DF(P)T, GW) will be appreciated. The candidate will work in
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Faradaic currents below the detection limit to electrogenerated fluorescence. We will focus on model electrode processes of electroactive molecules immobilized at nanoelectrodes and reactions catalyzed by
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for leading research with mammalian animal model systems. Use multi-omic approaches to investigate the paternal and embryonic epigenomes. Have ample opportunities to collaborate with investigators and partners
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of Group/Project: We are building an optimisation-driven framework that makes AI models reliably operate advanced scientific software (e.g., DFT, Wannierisation, and quantum-transport codes) and (ii) uses
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28 Nov 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Modelling tools Computer science » Programming Engineering » Civil