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Course location Gießen Description/content A Structured PhD Programme Within a Cutting-Edge Research Environment At the GCSC, you will actively participate in a research-intensive environment from
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. Are you ready to take your next step? We welcome curious minds from all backgrounds. Course organisation At DIGS-ILS, PhD training is structured but flexible — designed to support independent
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research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains from chem- and bioinformatics to computer vision and
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- Ideally, knowledge of driving simulation software (e.g., SILAB) - Experience in the design, implementation, and evaluation of empirical studies - Ability to work in a team, structured approach to work, and
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these methods to understand the atomic structure and properties of a range of materials being developed for efficient solar cells, light generation, batteries, superconductors, photonics and nanoelectronics. We
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while accounting for dependency structures and biological knowledge? 3. To what extent does the inclusion of multi-omics and patient-derived organoid data provide added predictive value over established
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. Good communication, collaboration and social skills. Ability to respond positively to professional feedback and supervision. Structured and solution-oriented, with the ability to manage various tasks and
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: Designing and developing CAD models of test coupons and other structures Fabrication of ‘green’ test structures and sintering these across a range of conditions Characterising the mechanical properties
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thermodynamics by water and electrolytes (REMOTE)”, which aims to unravel the intricate relationships between fluid structures, molecular interactions, and macroscopic properties, deepen the fundamental
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, including gene expression analysis and transcriptomics Histological and microscopic techniques, as well as immunohistochemistry Analysis of endocrine organs as well as neuronal and cardiovascular structures