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modelling methods to design resistance-proof antibiotics. You will join an interdisciplinary team, integrating machine learning, medicinal chemistry and microbiology. You will work with Asst. Prof. Eli N
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Postdoctoral Researcher with a strong computer science background and demonstrated expertise in deep learning and generative model development to lead the AI component of this initiative. Responsibilities and
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Job Description At DTU Energy we are looking for a postdoc to work on modeling and designing a novel type of heat exchanger equipped with thermoelectric generators, to recover and convert waste heat
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at the single-atom level Understanding of atomic mechanisms and kinetics to stabilize highly active but metastable surface motifs sustainable catalytic processes. 4. Modeling Atomic Processes on Nanoparticles You
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candidate will develop and test novel user interfaces that integrate state-of-the-art Large Language Models (LLMs) with novel logic-based multi-robot planning algorithms. This work will be evaluated through
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generation Developing and optimizing generative models for de novo binder design Collaborating closely with wet lab scientists who will express and test the designs that have been created Developing scalable
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Job Description If you are passionate about cutting‑edge research in bioprocess modelling and eager to shape the next generation of digital twins for industrial biomanufacturing, we invite you to
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models. Your primary tasks will be to: Development and optimisation of nanoformulations for cancer therapeutics Physicochemical characterization of nanomaterials using FTIR, DLS, TGA, sp-ICPMS, TEM, SEM
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reactivity at the single-atom level Understanding of atomic mechanisms and kinetics to stabilize highly active but metastable surface motifs sustainable catalytic processes. (4) Modeling Atomic Processes
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with natural language. The successful candidate will develop and test novel user interfaces that integrate state-of-the-art Large Language Models (LLMs) with novel logic-based multi-robot planning