248 parallel-processing-bioinformatics-"Multiple" Postdoctoral positions at Nature Careers
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the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from
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Pneumatic Tires, Structure-Process-Properties Relationships. As part of it, we are currently looking for a postdoc on machine learning for road characterization. How will you contribute? Do you have proven
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on or as soon possible, with possibilities to extend for another two years. Job description You should be experienced in biochemistry, tissue proteomics, and protein bioinformatics. You will spearhead
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mice as model systems and combine molecular, cellular, developmental and bioinformatics approaches to establish how chromatin regulators reshape the epigenome and regulate cell fate during development
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2019 https://doi.org/10.1038/s41596-018-0110-x and Lara et al., arXiv:2503.21396 https://doi.org/10.48550/arXiv.2503.21396 )). In parallel with your experimental work, you would develop theoretical
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bioinformatics, physics, statistics, computer science, computational biology, or related fields. Experience programming in Python (or R) as well as bash/shell scripting. Experience with machine-learning and deep
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activation or suppression in specific cells. It is invaluable for understanding complex biological processes and disease mechanisms, making it an essential tool for researchers in various fields. In
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, also German Independent working style combined with high initiative and organizational skills Basic knowledge of bioinformatics would be an advantage Your Benefits An excellent scientific environment
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high-fidelity modeling of complex plasma processes, contributing significantly to fields such as fusion reactor design, material deposition technologies, and space propulsion systems. The project brings
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biology, biomedical research, bioinformatics, biochemistry, bioengineering, etc. With the motivation, skills, experiences, and initial achievements (subject to academic age) to qualify for a competitive