8 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" PhD positions at AALTO UNIVERSITY
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their structure and electrochemical performance, and using this knowledge to engineer application-relevant devices? We are seeking for a curious, self-driven doctoral researcher to develop active, durable, and cost
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this knowledge to engineer application-relevant devices? We are seeking for a curious, self-driven doctoral researcher to develop active, durable, and cost-efficient thin film electrocatalysts based on earth
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D'Souza ([email protected] ). Please read the description below in full before directly contacting us by email. Your role and goals You will develop data-driven and machine learning workflows to predict
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Caro's group, whose core expertise is the development of machine-learning-infused atomistic modeling techniques and their application to important problems in chemistry, physics and materials science
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design, spacecraft systems modelling, structural and thermal analysis, and mission performance verification. Together, these resources support the full development cycle—from early concept design and
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seeking a doctoral researcher possessing a curious and self-driven mindset to develop and apply new simulation protocols to push towards realistic and dynamic modeling of AS-ALD processes. Recently, we have
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integrated circuits, taking them from RTL to a fabricated chip and PCB that you measure in our own labs. The position is part of the HolistIC project , which develops ultra-low-power system-on-chip designs
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the HolistIC project , which develops ultra-low-power system-on-chip designs for next-generation intelligent audio IoT sensors. Your Role and Goals As a Doctoral Researcher, you will: Design energy-efficient