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advance next-generation biocatalytic processes both microbial and cell-free. PROSYS has a strong focus on combining experimental research and modelling tools to design sustainable and scalable bioprocesses
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experimental investigations of reactions on single crystal surfaces, model systems, and mass-selected nanoparticles. It also includes building a theory of catalysis for a broad range of catalysts and processes
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circuitry and shared molecular pathways have established songbirds as the model system of choice for human speech learning and fine motor control in general. The PhD candidate will use behavioral and
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Programming Beyond the Circuit Model” led by Assoc. Prof. Robin Kaarsgaard . The project aims at introducing new abstractions, models, and programming languages that radically change how we can reason about and
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of the DTU Offshore model for achieving goals and viable solutions, which has driven the rapid development of geo-energy production engineering. This collaborative approach will continue. Teaching
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DTU Tenure Track Assistant Professor in Nanofabrication of Photonic Integrated Circuits for Quant...
. Employ finite element computer models for photonic crystals, metalenses, and DUV stepper reticle design. Optical and structural characterization of the fabricated devices. Contribute to education and
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based on an advanced human intervention study, utilizing both in vivo animal models and in vitro cell-based systems. Opportunities for research exchanges to international and national collaborating
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imaging, flow cytometry, and molecular assays to characterize cellular phenotypes. Perform in vivo studies in mouse models of obesity and metabolic disease The Loft Group Anne Loft is a recipient of a
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genome-wide CRISPR functional screening in both mouse models and clinical samples. Working closely with computational biologists and clinicians, this interdisciplinary project offers an exceptional
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biology, epidimological data and AI-driven systems modeling. The successful candidate will develop and apply computational and machine learning approaches to decode the molecular and epigenetic mechanisms