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partners to gauge views on data centre construction and operation in Finland - Skills needed: Multivariate statistics and regression modelling using R, Python or Stata, basic understanding of survey
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energy-intensive infrastructures. Implementing algorithms and simulation models using Python, MATLAB, Julia, or other suitable tools. Analysing simulation and project data, and validating the developed
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models of analog and RF circuits in Python Validate the developed models against circuit simulations and measurements Perform hardware-algorithm co-design for AI-driven 6G transmitters Publish and
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candidates with a Master's degree in (computational) chemistry, physics, or materials science who are curious about applied machine learning in the natural sciences. Prior machine learning or Python
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, especially dynamic simulations Experience with signal processing, time series analysis or machine learning Programming skills in MATLAB and/or Python What we offer The position is fixed term and follows
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following the standard practices at the department. Your experience and ambitions The position requires excellent programming skills in Python with demonstrable familiarity with PyTorch, experience in
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, finite element methods, and basic scripting (e.g., Python or MATLAB) is an asset, alongside analytical skills. The ideal candidate is motivated to translate engineering science principles into
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decision processes; Programming skills (Python). What we offer Fully funded doctoral researcher’s position at Aalto University, which is consistently ranked among the top universities in Europe; The
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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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(MATLAB, Python, or C/C++) Real-time and instrumentation platform (dSpace, LabView) Microscopic measurements (X-Ray, EBSD) What we offer Fully funded doctoral researcher’s position at Aalto University