10 computational-complexity Postdoctoral positions at Nature Careers in United States
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algorithms, NLP models, and LLMs to analyze complex data. Designs and implements novel data science methodologies for predictive modeling, causal inference, and probabilistic analysis in clinical and
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A data science postdoctoral research associate position is available in the lab of Dr. Christian Meyer Ideal candidates will have: • A Ph.D. in bioinformatics, computational biology, mathematics
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for analysis of complex systems, in particular towards the identification of regime trends and tipping points Deduce hypothesis on the principles of system evolution and development Build computational models
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regulation, with the goal of uncovering novel mechanisms that shape complex behaviors. This is an excellent opportunity for individuals passionate about systems and circuit neuroscience, offering a stimulating
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to Dr. Christian Meyer at Christian.meyer@stjude.org. Link 1: www.stjude.org/research/why-st-jude/data-tools/research-computing/research-computing-resources.html Link 2: www.stjude.org/care-treatment
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. Description We are looking for a postdoctoral computational biologist to decipher the genomic regulatory code controlling gene expression in plants. Within the ERC-funded multiCODE project, we aim to unravel
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A postdoctoral position is available for highly motivated individuals with a background in Computational Neuroscience to analyze complex time-series data from ongoing 2-photon microscopy experiments
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bioinformatics, and statistical modeling to decode the complex molecular mechanisms that shape human vision. By leveraging high-dimensional data and cutting-edge computational analyses, we aim to uncover
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Performs a variety of moderately complex research tasks determined by the field and scope of the particular research project/study. Performs tasks related to the research project independently, but
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medicine through our discoveries of today. At locations in Berlin-Buch, Berlin-Mitte, Heidelberg and Mannheim, our researchers harness interdisciplinary collaboration to decipher the complexities of disease