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advantage: Experience with C, Python, MATLAB, or similar programming languages. Experience in scientific writing and academic publishing Students in the final year of their master's programme are also welcome
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coursework (examples): Computational physics/scientific computing and numerical methods for PDEs High‑performance computing (parallel distributed programming, GPU programming) Astrophysical fluid dynamics
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/OPEX, NPV, IRR, feasibility studies) GIS and spatial data handling (e.g., QGIS, ArcGIS or equivalent) Scientific writing and prior publications (DOI/link to each) Advanced programming skills (link to
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of the doctoral studies, the researcher will be expected to present publish in leading academic journals and high-level scientific conferences, actively participate in the research group activities
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to help establish the experiments and shape the scientific questions. Work is fundamental, but it is also relevant to applications ranging from energy-efficient heat transfer and water harvesting to
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scientific questions. Work is fundamental, but it is also relevant to applications ranging from energy-efficient heat transfer and water harvesting to antifogging and anti-icing surfaces. We are looking for
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, and audio research, including Aalto University’s large-scale scientific computing cluster with CPU and GPU nodes, access to CSC’s national computing infrastructure including LUMI, and the Aalto
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, circuit design, clean-room techniques, simulations, data analysis, and instrument programming. Our group is doing research on circuits consisting of superconducting qubits and resonators - presently
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excellent infrastructure for deep learning, speech, and audio research, including Aalto University’s large-scale scientific computing cluster with CPU and GPU nodes, access to CSC’s national computing
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space, the next commercial space frontier. The programme is designed to achieve the following training objectives for our doctoral researchers: Equip them with core scientific skills and specialised