180 postdoc-in-postdoc-in-automation-and-control Postdoctoral positions at Nature Careers
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Children's Research Hospital in Memphis, TN. The goal of our research is to understand how neural circuits control movement. We approach this from multiple perspectives, using diverse technologies to analyze
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skills: fluent command of English; knowledge of another language of the European Union is an asset. Researchers are supported by easy access to scientific expertise, well-equipped facilities, an active
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mechanisms that control human T cell development (Liang et al. Nat Immunol 2023, Lavaert et al. Immunity 2020; Roels et al. Nat Immunol 2020). As part of the Human Cell Atlas Thymus Seed Network, we have also
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Postdoctoral position in Bioinformatics/Computational Biology (m/f/d) (full-time position 100 % ~ 38
package development) and command line-based analysis tools (e.g. Python) • Knowledge with public sequence databases, error correction algorithms • Scientific experience in immunology, molecular and cell
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across diverse scientific data modalities such as structured databases, ontologies, and unstructured text. The goal is to enable automated hypothesis generation and obtain scientific insights, with
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on-demand control of genetically targeted neurons and astrocytes.More information about the lab can be found at: https://people.eecs.berkeley.edu/~chunlei.liu/ Key Responsibilities Design and conduct
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of an automated workflow to determine the drug susceptibility and resistance liabilities of novel antifungal drugs, across a wide range of fungal pathogens, both alone and in combination with existing antifungal
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of publications in peer-reviewed journals. Rigour, motivation, scientific creativity and originality, writing skills, conciseness, sense of priority and ability to work in a team. Languages: fluent command
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dimensional materials to DNA, and employed such heterostructures for sensing and optoelectronic applications . We now want to refine strategies that employ DNA nanotechnology to control the formation of 2D
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control technology and computer algorithms to develop a foundational discovery platform for future cell programming applications. This position involves both experimental and computational work