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or Python) for data-analysis and willingness to develop these skills is considered an advantage. Evidence of capacity to communicate research to academic or non-academic audiences (e.g. scientific
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appointment. Strong foundational computational literacy—including programming, data handling, quantitative methods, and confident research use of Python, R, Git, and Jupyter—is a baseline for the
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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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required): experience with surface‑sensitive techniques, synthetic and preparative organic chemistry,lignin analytics, colloids, polymer processing, programming (e.g., Python/R/Matlab), molecular
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, environmental sciences, geoinformatics, physics, computer science, or a related field. Strong programming skills, for example in Python or R, are required. Experience with point cloud processing
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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 Aalto's standard 2+2 model. It will be
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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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Experience in computational analysis of biological data Experience with single-cell, transcriptomics, spatial biology, or other omics data analysis approaches Programming skills in R, Python, or
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: Willingness to pursue a PhD degree in meteorology Good skills in written and spoken English Strong experience in dynamic meteorology Some previous experience in programming in Python and
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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