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Field
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reliability-aware mapping and optimization techniques as well as high-quality, and cost-effective mitigation schemes that can guarantee efficient and reliable memristor-based CIM operation for AI workloads
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of the cavitation process in composite propellers under operational conditions. Job requirements We are seeking an outstanding and enthusiastic researcher with a focus on developing new methodologies
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to design the experimental procedure, and analyse and write up the findings for academic publications. You will also be part of the Institute of Biodiversity and Ecosystem Dynamics and attend group meetings
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Applications are invited for a Postdoc position within the research project “Uncovering the creative process: from Inception to Reception of translated content using machine translation” (INCREC
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. Integrating DRI into EAF steelmaking process presents several challenges that are critical to efficient steel production: Carbon in conventional natural gas-based DRI reduces melting temperature. Low-carbon DRI
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the employment procedure. Selection process More information Questions regarding this position can be directed to Dr. Koen Verhoeven (https://nioo.knaw.nl/nl/employees/koen-verhoeven ). Application procedure
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of the following areas: Image processing, partialdifferential equations, scientific computing, deep learning.•Solid programing skills. Knowledge of Python, Tensorflow/Pytorch, and Mathematica.•Fluent
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, are central to this transition, enabling recyclable, lightweight structures. Research now targets energy-efficient, automated processes and machinery to deliver high-quality components for the next generation
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research project “Uncovering the creative process: from Inception to Reception of translated content using machine translation” (INCREC), financed by an ERC Consolidator Grant and coordinated by
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particular circumstances that the applicants disclose (e.g. parental leave, caring duties, part-time jobs to support studies, disabilities etc.) to ensure an inclusive and fair recruitment process that does