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to (i) develop and adapt state-of-the-art methods from data science and (ii) apply the acquired knowledge to the research domains of the respective Helmholtz centers. The research will be accompanied by
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the field Requirements: MSc in Physics, Mathematical/Theoretical Biology, or Chemical Engineering Very good written and spoken English skills Curiosity about the mechanisms underlying life and disease Self
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: Master’s degree in a scientific or engineering subject with excellent grades; enthusiasm for neuroscience and brain mapping; openness to new methods such as deep learning. Offer: Funded PhD position (TV-L 13
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define how they interface with other nuclear RNA processes. In addition, we will apply cellular assays (export reporters, RNA-FISH), proteomics, transcriptomics and high-resolution microscopy
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change, the sustainable use of the world's coastal systems and the resource-compatible enhancement of the quality of life. From fundamental research to practical applications, the interdisciplinary
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little or no prior experience in experimental biosciences, but a strong wish to engage in these areas, are particularly encouraged to apply. High interest and motivation are the primary selection criteria
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) Research area: Large Language Models (LLMs), knowledge graphs (KGs), commonsense knowledge Tasks: foundational or applied research in at least one of the following areas: LLMs, KGs, knowledge extraction
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outstanding students from all over the world to apply for PhD positions in our renowned PhD program. Based in Hamburg, our program offers excellent training and top-level structured supervision in climate
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funding (private funding is not permitted). The selected candidates will be supported by the BGSMCS in applying for externalfunding, for example from the German Academic Exchange Service (DAAD
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service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file to 2dpolymembrane at tu-dresden.de