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projects focusing on scaling up our electro-metallurgical battery recycling technologies from lab to pilot scale. Main activities include Process Development, Testing and Optimization • Design, Test and
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hardware technologies. Conduct hardware performance evaluations (e.g. area, power, efficiency). Develop software strategies for communication-aware task scheduling and runtime optimization. Explore low-power
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execution, process operation and optimization, and pilot transfer of the translated technologies on pilot scale in collaboration with IHL’s and industry. The successful candidate will be responsible for: Lead
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, molecular cloning, and microscopy. They will work closely with the PI and other team members to establish and optimize assays central to the lab’s core research areas in cell division and cancer biology
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to design, optimize, and scale-up of electrolyzer systems to use for recycling spent battery materials. Key Responsibilities Design & Development • Lead the design and scaleup our electrolyser systems
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in a research project on machine learning modeling and optimization of vertical farms. Key Responsibilities: Development of new machine learning modelling approaches Development of new advanced control
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and organic digital marketing efforts to ensure optimal results. Collaborate with other teams and faculty to deliver content that aligns with the branding strategy. Identify opportunities
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(PECVD) system. Design appropriate experiments for PECVD growth of boron nitride nanomaterials. Optimization of PECVD parameters. Perform and analyze SEM, TEM and Raman and other material characterization
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, combining data from various sensors such as LiDAR, cameras, IMUs, and wheel encoders. Implement and optimize path and motion planning algorithms, including obstacle avoidance and trajectory generation. Work
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atomic force microscopy and optical spectroscopy Collaborate with theoretical researchers in the design and optimization for new fundamental excitonic effects Record, manage, and store collected data in