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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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in electrical engineering, computer engineering, computer science, or similar. Strong background in communication systems, optimization, or machine learning for networked systems. Experience and
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The Danish School of Education (DPU), Faculty of Arts, Aarhus University, invites applications for a postdoctoral position within the research project Educational Optimism – Aspirational
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/MS experiments, with emphasis on negative ion mode Develop and optimize fragmentation strategies for peptide analysis under collisional- and electron-based dissociation regimes Investigate gas-phase
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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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for the optimal candidate later dates may be negotiated. You can read more about career paths at DTU here . Further information For further information about the research at SurfCat at the Department of Physics
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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