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main focus on the development of control software. ▪ You will design and implement advanced control and readout protocols and optimize experimental characterization workflow,s leveraging machine learning
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degree in the fields of geosciences, resource management, energy technology, mechanical engineering, industrial engineering, physics, or comparable Basic knowledge in hydrology, resource management, energy
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clocks and laser links between Earth and the international space station ISS. The concrete task is to optimize our strontium lattice clock (DOI: 10.1103/PhysRevA.98.053443), transfer it to the Geodetic
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linkages based on numerical simulations and to transform them into AI- and ML-ready information to develop and implement an indirect inverse optimization framework to identify microstructures that exhibit
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Your Job: Join the Safe.SIB research project to develop new battery cell chemistries or introduce new functionalities into an existing battery technology to achieve safe, ultra-high performant
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engineering with TensorFlow or similar frameworks Ability to develop Spiking Neural Networks from scratch, including training and quantization Optimize and benchmark applications and models for neuromorphic
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generation routing and power distribution network generation for efficient timing closure and sign-off, including signal integrity Optimize design for power, performance, and area (PPA) Contribute to defining
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for growth and flux control. Engineering and optimization of microbial strains for production of bio-based products. Integration of metabolomics (targeted and untargeted), transcriptomics and proteomics
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, operation and optimization of fs to ps laser sources Characterization of electrostatic potentials and excited carrier concentrations using off-axis electron holography Mapping of charge carrier lifetimes by
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perovskite solar cells become viable contributors Supporting European-level technology assessments and contributing to the development of a European Energy System optimization model Providing insights