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(land, aerial, marine, or hybrid) Distributed decision-making, task allocation, and worksite optimization under uncertainty Energy-aware and resource-efficient collaboration strategies for fleets
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, human-centric systems, and technology deployment. Your research may focus on any of the following themes or a combination thereof: -Design, optimization, implementation, ramp up, and operation of
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processed by advanced and sustainable manufacturing, integrated in the circular economy. The starting point in modern production at M2P is digital data, generated and optimized. Research methods encompass
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opportunity to engage in innovative research at the intersection of optimal control, machine learning and robotics. Job Description As ALCAN Research Group, we work on the safety and reliability of complex
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.0c02887 ). We are looking for a motivated student with keen interest towards experimental research and applications of trace gas analysis. An optimal candidate should have prior experience with optical
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skills and experience in written, spoken, and collaborative work in English. What we offer: A career path optimized for transition to industry. You will be affiliated with the dynamic Aalto Scientific
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leverage the theory of estimating functions to create optimal inference algorithms for the proposed loss functions based on its underlying Riemannian geometry, as well as for those previously introduced in
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in real-time experimental settings and optimize them for privacy-preserving healthcare monitoring. You will collaborate with healthcare professionals to validate solutions in use cases such as
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chemical activation method, and develop environmentally friendly electrolytes. Work will focus on: Preparation, characterization, and optimization of porous carbon electrode ink for supercapacitor
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, simulation environments and optimal control are appreciated. English language requirements: Proficiency in written/spoken English is mandatory. In certain cases, we may ask for a language certificate. We offer