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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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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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with colleagues in theory who propose optimized designs for your devices, and both receive and provide help to fellow colleagues performing the experiments. You will also have the opportunity to carry out your own
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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