14 optimal-control Postdoctoral positions at Technical University of Denmark in Denmark
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photonic components and integrated laser systems. The postdoc will develop and optimize fabrication processes enabling low-loss waveguides, high-Q resonators, and efficient nonlinear devices. The role
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power modules for advanced HPC platforms. This position will focus on innovative power architectures, advanced circuit topologies, magnetic component optimization, and integrated packaging solutions
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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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. Magnetotransport characterization of the devices. Control the trajectory of electrons in condensed matter. Assess the potential of the new magnetoresistance class for highly sensitive magnetometers. You will work in
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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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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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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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, synthetic biology, yeast genetics, or related fields. Strong knowledge of heterologous protein expression and optimization. Experience with high-throughput screening and genetic-engineering technology is
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serving (Ray/VLLM), quantization and sharding, prompt optimization, reinforcement learning, Transformers/Deep-SSMs/Test-Time Regression Extensive knowledge of agentic AI systems research, engineering and
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exchanger. Responsibilities and qualifications For this modeling project, we are looking for a postdoc to realize and improve our model for thermoelectric generators as well as perform the design optimization