242 machine-learning-and-image-processing Postdoctoral research jobs at Nature Careers
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processing in the mammalian cochlea in vivo , and how these influence central auditory neuronal pathways. The project will primarily involve using in vivo 2-photon imaging and AAV-gene delivery applied to a
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(data assimilation, machine learning, etc.) Writing proposals / securing external research funding Writing and submitting scientific papers Leading a research group Supervising students Participating in
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genomics and biosynthetic gene cluster (BGC) analyses Microbiomics (e.g., NGS) A scientific diving license A full car driving license At a workplace, directly on the Kiel Fjord with many leisure and
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diving license A full car driving license At a workplace, directly on the Kiel Fjord with many leisure and recreational opportunities, we offer you: Good conditions for work-life balance: We offer, among
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-of-the-art in SLAM, situational awareness, computer vision, machine learning, robotics, and related fields Developing and implementing innovative solutions, validated through real datasets and experiments
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highly interdisciplinary, integrating big data analysis, state-of-the-art machine learning models, mathematical modeling, and systems biology to elucidate the mechanisms of drug interactions in complex
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studies by cryo-electron microscopy (cryo-EM) and/or X-ray crystallography. Perform data processing and model building (e.g., Relion , CryoSPARC , Coot, PyMOL ). Option 2 : Cell Biology Design and execute
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Area of research: Scientific / postdoctoral posts Job description: GFZ is Germany's national centre for solid Earth research. We advance the understanding of dynamic processes to address global
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group (https://bckrlab.org). We focus on high impact applications and work on knowledge-centric AI and biomedical machine learning including multi-omics integration, single cell analysis, and sequential
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Area of research: Scientific / postdoctoral posts Job description: GFZ is Germany's national centre for solid Earth research. We advance the understanding of dynamic processes to address global