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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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example, development of AI agents for integration and maintenance of computational codes written in different languages (in particular MATLAB, Python and Fortran) development of AI agent-based
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experience with high-performance computing (HPC) systems; Ability to interact with data and software programmatically (for example, familiarity with Python scripting) Strong command of written and
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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 present your results at
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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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surveys with human participants using platforms like Empirica or similar. Running social simulations with AI agents using platforms like Concordia or similar. Coding in Python or a similar language for
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foundational computational literacy—including programming, data handling, quantitative methods, and confident research use of Python, R, Git, and Jupyter—is a baseline for the appointee, not the position’s
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design. Experience in conducting behavioural experiments or using serious games for research is considered an advantage. Experience or training in programming languages (e.g., R or Python) for data