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tools. Collaborate closely with an experimental enzymology PhD student to validate your models in the lab. This is an excellent opportunity to contribute to the future of enzyme engineering
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welcomes applications from individuals with a master’s degree in the following fields: Computer Science Mathematics Natural or engineering sciences or an equivalent degree, interested in High-Performance
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| Methods Workshops | Transferable Skills Topics addressed in the program’s structured curriculum range from molecular and cellular neuroscience, behavioral assessments, electrophysiology, brain imaging
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Areas of study Neuroscience, Physics, Applied Computer Science, Bioinformatics, Computer Science, Engineering Informatics, Medical Informatics, Chemistry, Analytical Chemistry, Inorganic Chemistry
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Biology, Biochemistry, Life Science, (Bio-)Physics, Chemistry, Computer Science, or related fields. Visit the IMPRS-LM website for more information about the program, the application process , and the
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, these models often use simplified, linearized assumptions, limiting their capacity to capture the nonlinear complexities inherent in real-world hydrological processes. Recently, there has also been the branch
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the second funding period, we focus on chemical and physical transition processes – such as (nanoscale) phase transitions, dissolution/solvation, catalysis, crystallization, or molecular aggregation/switching
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develop a comprehensive understanding of the various needs and interests that become inscribed in, or are left out of, technology-centred imaginations of future-care. While speaking to practical concerns
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. Enhancers, DNA elements with binding sites for transcription factors, play a key role in this process. Recently, it has become clear that enhancer activity requires the formation of sub-micrometer-sized
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Completed university studies (Master/Diploma) in the field of mechanical engineering, physics of related disciplines Enjoy experimental work in international and multidisciplinary teams Communicative