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), located in central Berlin, is seeking a highly motivated postdoctoral researcher with a strong computational background to develop new methods for analyzing multimodal data from genetic and pharmacological
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: Recently earned a Ph.D. in bioinformatics, computational biology, computer science, electrical and computer engineering, or a related discipline Strong experience in integrating several of the following
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skills in data analysis, machine learning, as well as in mathematical and computational modelling? You will have the opportunity to investigate innovative solutions using machine learning algorithms and
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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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The Mitochondrial Inner Membrane Laboratory (MIM-Lab) at the Department of Molecular Biology and Genetics, Aarhus University, is inviting applications for a fully-funded postdoc position for 2 years
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ambitious research group that focuses on genetic, molecular, and functional analyses of B cell and antibody responses. Your work will involve laboratory-based research, extensive data analysis, and project
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Postdoctoral position in structural and biophysical analysis of plant hormone transporters within...
The Plant-PATH Center for Active Transport of Plant Hormones, hosted at the Department of Molecular Biology and Genetics, Aarhus University, is seeking a highly skilled and motivated postdoc
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, Genetics, Cell Biology, Biophysics or a related field - Competency in computational (R or Python) and statistical analysis - Competency in experimental design and standard molecular biology, imaging
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Applications are invited for a 2-year postdoc position on the topic of the Gut-Brain axis at the Department of Molecular Biology and Genetics, Aarhus University, Denmark. You will join a new lab
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who wish to pursue research specifically in the following areas: (1) Mouse embryo morphogenesis; (2) Mouse genetics and gene regulation; (3) Single cell RNA-sequencing with bioinformatic analysis; (4