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program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes
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School of Electrical Engineering and Computer Science at KTH Project description Third-cycle subject: Computer science This project involves generative modeling to address missingness in mass
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University. As a doctoral student, you will be trained in a scientific approach. In short, you will be trained to think critically and analytically, to solve problems independently using the right methods, and
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protein analysis methods Preferred qualifications Experience from biotech/pharmaceutical industry or relevant academic research environment Experience with structural biology, especially cryo-EM Experience
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quality control, as well as methods to analyse and integrate diverse types of clinical and proteomics data across platforms. The successful candidate will also support cross-platform data harmonization and
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program based in Sweden that been systematically mapping the localization of human proteins in cells, tissues and organs during the past 20 years. For this project, we map the subcellular distribution
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take pride in providing excellent technical support. As the workload will vary over time, you need strong time management skills and the ability to handle multiple projects of different sizes
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the last three years is considered an advantage. If there are special reasons, your degree may have been completed earlier. The ideal candidate holds a recent PhD in biophysics, computational biology
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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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the time the applicant is admitted to the PhD program at the Department of Biochemistry and Biophysics. You meet general entry requirements if you have completed a second-cycle degree, or completed courses