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methods through practical case studies. Preparing scientific publications for international journals and conferences. Your network and team In this position, you will join the Multi-energy System
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fluid dynamics simulations Combustion Scientific programming, including Fortran Scientific writing and academic publishing Machine learning methods Excellent written and fluent verbal communication
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communication skills in English Considered an advantage: Experience with C, Python, MATLAB, or similar programming languages. Experience in scientific writing and academic publishing Students in the
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entirely possible to develop more advanced programming skills during the doctoral studies. A strong interest in atomistic simulations, machine learning and scientific method and software development
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, computational science, or closely related). Relevant coursework (examples): Computational physics/scientific computing and numerical methods for PDEs High‑performance computing (parallel distributed
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expected to present publish in leading academic journals and high-level scientific conferences, actively participate in the research group activities, assist in the preparation of new research proposals
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real opportunity 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
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data processing Experience in scientific writing and academic publishing Programming skills and experience with MATLAB, Python, or similar tools Familiarity with machine learning and deep learning
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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 infrastructure
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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 knowledge in designing