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: Ph.D. in chemistry, materials science, chemical engineering or similar. Independently solving complex scientific research tasks in their field. Actively publishing high quality scientific articles
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mortality from non-communicable diseases. Environmental and Molecular Epidemiology – analysing complex environmental and genetic factors associated with cardiovascular outcomes, using phenotyping and
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complexes involved in the molecular mechanism of cyclic electron flow (CEF) in cyanobacteria. The position is embedded within a large national project PHOTOMACHINES (2024–2028), focused on the development
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-of-cellular-metabolism/ The position is for you if: …you have strong data analysis skills and enjoy working with large, complex datasets (e.g., single-cell, spatial, imaging-based or other omics data) …you have
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-of-cellular-metabolism/ The position is for you if: …you have strong data analysis skills and enjoy working with large, complex datasets (e.g., single-cell, spatial, imaging-based or other omics data) …you have
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, with clear expertise in magnetic imaging methods; experience with electron magnetic dichroism is a strong advantage. Proven ability to conduct independent research, critically interpret complex datasets
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considered a strong advantage. Proficiency in statistical programming languages such as Python, R, is expected, as is the ability to work with complex clinical datasets and handle missing data thoughtfully
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(iii) complex architectures with tightly coupled components hinder modular adaptation. To address these limitations, we research a physics-guided machine learning framework that integrates physical