481 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof" "UNIS" PhD positions in Germany
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the skin to facilitate specialized interactions. Understanding type 3 dendritic cells biology in the context of health and disease will allow us to develop targeted therapeutic strategies aimed at modulating
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is implicated in a variety of pathways that protect us from diseases such as cancer, neurodegeneration and inflammation. In our lab, we have developed tools that allow us to a) induce the
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of experience in high-temperature microwave processes for e.g. carbonization and graphitization of polymer materials. In the field of plasma, the group has developed plasma sources and processes for surface
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Dortmund, we invite applications for a PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM) You will be responsible for Developing new machine learning algorithms for microscopy image
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into the EURECA consortium. The overarching objective of EURECA - The European Epitranscriptomics of Cancer Academy-, is to train young doctoral candidates into excellence at the frontiers of basic and
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Max Planck Institute for Chemical Physics of Solids, Dresden | Dresden, Sachsen | Germany | about 1 hour ago
generously funded and successful candidates will receive competitive payment based on the primary location of their research project. We seek to recruit multiple PhD students in 2026 to a range of inter
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technology. ▪ Close connection to the activities of the Munich Quantum Valley with its main goal to build a quantum computer based on different platforms, to develop suitable algorithms and applications, and
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: Nuclear mRNA export is an essential step in eukaryotic gene expression, ensuring that mature transcripts are delivered from the nucleus to the cytoplasm for translation. Multiple challenges are faced in
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associated with cancer and neurodegenerative diseases. We have developed an unbiased mass spectrometry-based proteomics approach to identify proteins that regulate R-loops in human cells and discovered a role
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to identify targets for the development of rejuvenation strategies. We have established a large dataset of single cell whole transcriptomic analysis of hematopoietic progenitors and bulk RNAseq of endothelial