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-reviewed journals. Generating and documenting code and datasets. Collaborating with international experts, both computational and experimental. Fulfilling the requirement of the Doctoral Programme in
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chemical reactions and assembling functional nanomaterials from bottom-up in scanning tunnelling microscopy (STM). The project is tightly linked to machine learning algorithms in images (image classifier
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high-speed Schlieren imaging, Particle Image Velocimetry (PIV), and Planar Laser-Induced Fluorescence (PLIF) will be employed within a custom optical spray and combustion chamber to capture detailed flow
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(or most) of your code may be open source and may be added to your public CV, depending on the needs of researchers. Fixed-term contract until 29.2.2028. All other standard benefits of Aalto as an employer
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for different tasks Good programming skills - you are required to provide a sample of your code during the recruitment process Strong interest and motivation in improving the sustainability of networked systems
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models in collaboration with our international collaborators. You would also develop advanced image analysis schemes to analyse the experimental data. Your focus would be to investigate the effect
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relevance of the highlighted publications to the project. Sample code, preferably on a code repository. Provide a URL and describe in one paragraph your role in developing the software. Names and email
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shrimps. In parallel with your experimental work, you would develop theoretical models in collaboration with our international collaborators. You would also develop advanced image analysis schemes
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(or most) of your code may be open source and may be added to your public CV, depending on the needs of researchers. Fixed-term contract until 29.2.2028. All other standard benefits of Aalto as an employer