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fleet can act as one Virtual Power Plant. Read more about the project and other participants here: https://aegis-dn.eu/ Your role: You will be working on “End-to-End Energy Modeling for Distributed AI
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data-analysis and programming skills (e.g., Python, MATLAB, or similar). A hands-on approach to experiments, patience in troubleshooting, good communication skills, and the ability to work both
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engineering, communications engineering, signal processing, computer science, applied mathematics, or another closely related field A strong foundation in wireless communications, statistical signal
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to do hands-on work underground and in the laboratory Basic programming ability in Python, MATLAB, R, or similar Ability to work on site in Otaniemi campus. Demonstrated experience/familiarity with
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allowance, if applicable. Requirements for PhD Position Master's degree in Aerospace Engineering, Space Technology, Physics, Mechanical Engineering, Computer Science, or closely related field. Excellent
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mass transfer. Experience with microscopy, surface characterization, nanofabrication, or experimental instrument development is an advantage. Good data-analysis and programming skills (e.g., Python
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where you can create a business from research in an international environment. You’ll get the support of the research team, mentors, Aalto Innovation Services, Aalto Startup Center and the active Aalto
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learning, particularly physics-informed or physics-constrained learning Programming and modelling skills (Matlab/Simulink, Python, C or other embedded-systems languages) Interest in embedded systems and
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/relevance to this call. Please notice that the maximum size of the file is 5MB. Motivation Letter including your vision for the field TENK-compliant CV ( link to the template ) Teaching Portfolio
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in physics, electrical engineering, or computer science. Applicants should preferably have prior research experience in one or more of the following areas: design and fabrication of superconducting