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workflows for large epidemiological cohorts and clinical projects, supporting both tailored user analyses and internal projects. A key component will be the development of pipelines and applications for data
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). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors. The main objective is to design and apply machine learning and deep
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creative and inspiring environment with wide-ranging expertise and interests. Karolinska Institutet is one of the world’s leading medical universities. Our vision is to pursue the development of knowledge
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different research projects in the lab, and will also have the possibility to develop their own project. Successful candidates will have the opportunity to work in a vibrant and highly collaborative
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, biomolecular technology, biodiversity, drug development, and bioinformatics. A remarkable number of these groups are led by outstanding early-career scientists, including 21 SciLifeLab Fellows, 12 DDLS Fellows
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communicate on a daily basis with the Head of Unit and Lab Manager. You will also actively participate in technology development with regards to analytical methods and application of workflows to user projects
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information about us, please visit: www.dbb.su.se . Project description The candidate will develop machine learning (ML) strategies, primarily revolving around interpretable ML and generative AI, to study
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of cell nuclei We are actively seeking a highly motivated PhD student with a passion for developing experimental methods to join our team. In this role, you will be involved in a groundbreaking project
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within the development and evaluation of new materials in interaction with biological systems to understand the underlying principles. For us, it is equally important to study the impact of materials
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’ system engineers. Train and support users in sample preparation and data collection (both for siungle particle and tomography). Provide advice and hands-on guidance in data processing and analysis, helping