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learning and data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms
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for spectroscopic analysis Analyze data and collaborate with project partners Maintain and operate advanced spectroscopic instrumentation Assist in laboratory organization and support training of junior researchers
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necessary knowledge and a broad range of skills for the successful completion of the project. Basic knowledge of data analysis or programming and good English skills are desirable. We value independent
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of techniques for the analysis of topological data. Targeted activities in the field of public relations are also planned. The activities will mainly be based at the Institute of Scientific Computing
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subsurface leaching into groundwater within agricultural systems experience in statistical analysis of research results or willingness to acquire such as well as to complete a PhD degree self-motivated
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Description Are you interested in developing novel scientific machine learning models for a special class of ordinary and differential algebraic equations? We are currently looking for a PhD
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containing non-natural amino acids Binding efficiency, inhibition and selectivity tests Structure-based analysis of polyphillic interactions Presentation and publication of scientific data The opportunity
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: Reference number 3694: PhD student researching and developing alternative methods to animal testing (f/m/d) Pay grade: 13 TVöD Place of work: Berlin and Hannover Limited for three years Application deadline
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Description We are looking for people interested in joining the Software Lab as a PhD student. The Software Lab conducts research at the intersection of software engineering, programming
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, digitalisation, AI and smart technologies, policy impact analysis, and/or production efficiency and markets. leading to an internationally competitive PhD degree and internationally peer-reviewed publications