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translate cutting-edge concepts into experimentally validated devices. By joining us, you will operate at the absolute forefront of heterogeneous photonic integration, develop high-performance nonlinear and
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by the Danish EUDP project “RePower-HPC.” Future AI and high-performance computing (HPC) systems demand unprecedented power levels driven by massive data processing. A key challenge is enabling
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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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to improve and optimize stem cell differentiation and manufacturing. As our new colleague you will be part of a diverse and multi-disciplinary team, which is engaged in machine learning and has a drive to make
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inorganic syntheses Develop and optimize electrochemical experiments and measurements Characterize materials and compounds using standard analytical techniques Analyse data and document results Collaborate
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the brain? At DTU we are targeting exactly this, and we are looking for a dedicated postdoc to carry out research in high-performance extraordinary magnetoresistance and Hall magnetometers based on high
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generation Developing and optimizing generative models for de novo minibinder design Integrating structural biology data into AI pipelines for receptor–ligand interaction modeling Fine-tuning large protein
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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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in the general work carried out by the research group, including discussions and planning of strategies and projects, drafting research grant proposals, etc. You will also co-supervise students and
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at expanding the carbon source repertoire and stress tolerance of these the industrially important production yeasts. The candidates will perform their work at department of Biotechnology and Biomedicine, DTU