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engaged in developing the physical foundations for a future fusion power plant. The institute is affiliated with the European Fusion Programme. The Max-Planck-Institute for Plasma Physics in Greifswald
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deep biological tissues. • Development of wavefront control strategies as well as the integration into bespoke photoacoustic microscopes. • Incorporate computational imaging methods into instrument’s
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, maintenance, and data analysis. Strong background in MS-based proteomics data analysis and familiarity with modern computational tools. Additional experience in high-throughput proteomics, low-input proteomics
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to learn computational biology/bioinformatics WE OFFER: An interesting and versatile workplace with challenging and exciting tasks and projects Career development in a multidisciplinary and committed
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programming and repair, bioengineering, and computational health. We particularly excel in the fields of basic research, bioengineering, artificial intelligence, and technological development. Through
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scaling and generalization behavior Roll out the model to the global user community Requirements PhD or MSc in computer science, physics, mathematics or a related discipline Experience with large-scale HPC
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communication skills in English Beneficial A background in the ocean uptake of carbon and heat or mesoscale eddy parameterizations Experience with high-performance computing facilities and knowledge of Fortran
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, environmental health, molecular targets and therapies, cell programming and repair, bioengineering, and computational health. Through this research, we build the foundations for medical innovation. Together
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to investigate the regulation of human tissue resident T-cells and their crosstalk with the microenvironment within the ERC-project. Candidate’s profile: Doctoral degree in life sciences or in computational
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, Cognitive Science, Psychology, Bioinformatics, Medical Informatics, or related life sciences. Strong statistical training and experience, ideally already having worked with types of statistical longitudinal