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generated during processing. This work will involve mineralogical and chemical characterization, process testing at laboratory scale, and techno-economic evaluation of developed routes. The project
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the adaptability, efficiency, robustness, and scalability of next-generation networks. While deep neural networks tailored for specific tasks have shown strong performance, advances in fields such as natural
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Position Title: Postdoctoral Research Associate - Ames National Laboratory Appointment Type: Post Doc/Trainee Job Description: Summary of Duties and Responsibilities: Would you like to work for a
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valuable elements from natural mineralizations, while ensuring the sustainable management and valorization of the brines generated during processing. This work will involve mineralogical and chemical
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guarantees while minimizing performance impact. Additionally, you will optimize the balance between privacy and utility, addressing the challenges of heterogeneous privacy budgets and varying requirements
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institution of TUM Campus Heilbronn that uses data to answer relevant questions and solve real-world problems. It brings together fundamental, methodologically driven research in optimization, machine learning
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Python and/or MATLAB; familiarity with numerical optimization libraries and scientific computing. Strong written and oral communication skills; ability to work independently and in teams. Position Type
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challenges in optimizing heat transfer, cost-effectiveness, and integration with façade panels. We aim to create scalable, sustainable building solutions. The project is integrated in an international project
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. The candidate will contribute to the mechanical design, composite fabrication, and experimental validation of UAV structures, integrating morphing wings and additive manufacturing processes for high-performance
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neurons. The position is for you if you: … want to work with C. elegans to address mechanistic questions in ciliary biology … are motivated by advanced imaging and quantitative analysis in living organisms