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devices — a capability strongly aligned with next generation BCI applications. Project Description We have developed a neuromorphic spike-sorting pipeline [1] based on Locally Competitive Algorithms (LCA
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, such as model evaluation and data pipelines, and their applied forms, including training, fine-tuning, and deployment of models using frameworks such as PyTorch or TensorFlow. Solid proficiency in Python
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Oettingen in Bayern, Bayern | Germany | 3 months ago
generation of translation-oriented medical and clinical scientists and establishes strong pipelines towards clinical cancer research and the economy. We are seeking for the Cancer Systems Biology lab of Dr
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on genetically and optically tractable arthropod species that satisfy a number of appealing biological and technical requirements. We combine advanced microscopy and image analysis pipelines with genetic and
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develop the computational models and pipelines, and apply them to this data to get insights drivers of host-microbiome evolution. This PhD fellowship will be supervised by Assoc. Prof. Shyam Gopalakrishnan
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systems for pathogen genomic analysis, interpretation, and automated scientific reporting. Tool-using environments and AI systems that can interact with bioinformatics pipelines, databases, and scientific
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package with trained models, reference segments, and documentation. Deliverable: D3.3 Cross-modality calibration and confidence scoring pipeline with interface specification and exemplars. Deliverable D5.1
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facility includes a fully equipped mouse cardiac phenotyping lab, a viral vector core, and the entire experimental pipeline for next-generation sequencing from tissue or single-cells, including FACS-based
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virus production. Duties include planning and performing laboratory work, contributing to optimization of sequencing protocols, developing and applying bioinformatics pipelines for long-read sequencing
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models are increasingly used in plant breeding and crop improvement pipelines. But training such models on private genomic data carries a risk: rather than learning general rules of sequence-function