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Field
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the interfaces in solar cells to gain insight into molecular adsorption and electronic structure Model X-ray absorption and Auger spectra to provide analysis of experimental results Writing scientific papers
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assays and image analysis will be an integral part of the project as well as imaging on state-of-the-art super-resolution microscopes. The project will be conducted at the Biophysics unit of the KTH Royal
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and practical skills in the field of data science, especially multimodal data analysis. Experience on image processing via machine learning. Programming skills (e.g., Python) are required. Ability
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and statistical analysis. Requirements PhD degree in population genomics, bioinformatics, applied statistics or a related area, or a foreign degree equivalent to a PhD degree in population genomics
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of the interstellar medium, and/or star formation rate models. Working with survey databases, handling large and complex datasets, and integrating data from multiple instruments. Data analysis and programming
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Electrical or electrochemical characterization of materials or devices Experimental design and electrical characterization of device performance and associated data analysis Peer-reviewed publication as first
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experience in the analysis and handling of single-cell RNA sequencing data. Experience working with tumor genomic analyses. Great importance will be placed on suitable personal qualities. The role requires
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multimodal data analysis. Experience on image processing via machine learning. Programming skills (e.g., Python) are required. Ability to communicate effectively in both spoken and written English. Merits
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these may be taken into consideration. The applicant must hold a PhD in Pediatrics or a related field. As an applicant, you are expected to: Have experience in the analysis of multiomics data and Olink
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the research and education has a unique breadth, with large activities in classical scientific computing areas such as mathematical modeling, development and analysis of algorithms, scientific software