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DTU Tenure Track Researcher in Computational Heterogeneous Catalysis – DTU Physics A scientific staff position is open in the Catalysis Theory Center at the Department of Physics (DTU Physics) and
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The Department of Chemical and Biochemical Engineering (DTU Chemical Engineering) invites applications for a position as Tenure Track Researcher in Microalgae-Bacteria consortia. We are seeking a
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DTU Tenure Track Researcher on Nanoreactors for Operando Visualizations of Nanoparticle Catalysis...
the relevant union. Starting date is 1 April 2026 (or according to mutual agreement). The position is a full-time position. The position is part of DTU’s Tenure Track program. Read more about the program and the
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DTU Tenure Track Researcher in Experimental High Pressure Phase Behavior for CO2 Storage and Othe...
DTU Chemistry invites applications for a tenure-track researcher position within the field of experimental high pressure phase behavior. The position involves conducting advanced measurements
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of error-controlled biomechanical models in SOFA / FEniCSx / SOniCS for real-time use on AR devices Design of Bayesian neural-network surrogates and graph-based models for tissue deformation and brain shift
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scientific discoveries explore and evaluate usability of system architectures such as Retrieval-Augmented Generation (RAG) for data retrieval and knowledge inference implementation of your machine learning
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of advanced language models and derived use cases by focusing on one or more of the following topics in their PhD project: Training and inference of ML models on GPU clusters. Method development for scalable
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dataDesigning hierarchical graph‑based models to predict toxicity under uncertainty by linking molecular‑level and system‑level knowledgeAdvancing causal inference methods to predict transformation products under
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clubs. Depending on the program, lab rotations may be included. A distinctive feature is the triple-track system, enabling integration of basic research, clinical application, and patient-oriented data
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. Ideally, also proficiency in at least one major deep learning framework (e.g., PyTorch, JAX). An early track record of research (e.g., a high-quality Master's thesis, open-source contributions, or workshop