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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 financed by
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Job Description Are you passionate about leveraging IoT, machine learning, and optimization to make buildings smarter and more sustainable? Join us to advance your career by working
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development, particularly in LabVIEW and C++ programming for high-precision measurement systems. As a key member of our team, you will lead the development and optimization of our high-speed dermal atomic force
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Job Description Are you passionate about leveraging IoT, machine learning, and optimization to make energy districts and communities more sustainable? We are looking for a highly motivated and
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: PhD in computer science, machine learning, operations research, transportation engineering or a related field. Programming skills in C/C++ and Python, along with experience working with simulation
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translate fundamental insights in membrane technology into practical, impactful solutions. Responsibilities and qualifications Develop and optimize highly structured membranes for membrane distillation. Lead
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part of the Dynamical Systems Section. We perform research within a broad range of areas within dynamical systems including modeling, optimization, forecasting, and controlling in both deterministic and
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have successfully defended a PhD thesis in a relevant discipline (computational mechanics, mechanical/aerospace engineering, simulation technology, applied mathematics, etc.). If you have not received
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tasks will consist of: Brainstorming and designing how to handle samples for multiple analysis. Optimization of protocols for tissue preparation before further analysis of disease mechanisms (and drug