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. The Liu Laboratory focuses on the integrative modeling of transcription and signaling pathway activation. The lab develops algorithms for the analysis of gene expression arrays and next-generation
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and computing, to apply. One position will focus on the scaling, calibration, operation, and tuning of spin qubit arrays using algorithmic techniques, as part of an international project, with
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multi-agent autonomous systems and related technologies. This will include development of distributed monitoring algorithms enabling agents in a multi-agent swarm to autonomously locate other agents in
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, phylogenomic, and evolutionary studies of plants. They will contribute to the publication of findings, and participate in the preparation of written documents, including procedures, presentations, and proposals
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performance cluster environments. Interest in evolutionary genetics and genome evolution, and experience in bioinformatics. High communication (verbal and written) and organizational skills are essential Who we
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Research group investigates the evolutionary and ecological causes responsible for the vast diversity of aging rates and lifespans across species in nature. We promote around the world the access of African
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classification for hyperspectral and fluorescence lifetime datasets. Optimize algorithms for batch processing and scalability, enabling high-throughput, automated analysis of large image datasets from fluorescence
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design, development, and validation of material, control systems, and algorithms for next-generation soft haptic actuators and experiences. Note that the research involves significant interactions with
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optimizing PIC algorithms for modern heterogeneous architectures, including CPUs, GPUs, and other accelerators, the project seeks to achieve unprecedented efficiency and resolution in plasma simulations
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Max Planck Institute for Evolutionary Anthropology, Leipzig | Leipzig, Sachsen | Germany | 2 months ago
Job Code: FT-06-2025 Job Offer from March 10, 2025 The Max Planck Institute for Evolutionary Anthropology (MPI EVA) brings together scientists from diverse backgrounds (natural sciences and