17 postdoctoral-image-processing-in-computer-science Postdoctoral positions at Nature Careers
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for its expertise in correlative imaging and materials science. To advance our microplastics research, we are looking for a highly motivated Postdoctoral Researcher with strong expertise in fluorescence
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to formalize a biological question into a computational model. Merits: Computational genomics, medical statistics, computational biology and/or imaging analysis. Experience with NGS (10x platform, Smart-Seq
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, computer scientists and biologists all working to develop imaging techniques within a supportive and diverse environment. Key Responsibilities This role will involve the operation of a new ultrafast laser
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, Impresso - Media Monitoring of the Past (https://impresso-project.ch/ ) is an interdisciplinary research project that uses machine learning to pursue a paradigm shift in the processing, semantic enrichment
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Open Position: (Postdoctoral) Researcher (m/f/d) Model Building for SPM Images of Macro(bio)molecules Job Code: 03.25 Your project: Build and test a GPU‑accelerated program to detect and interpret
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research project and/or you will bring independent, creative science, or specific skills to a team delivering a project or program. Through this work, you will build scientific independence, develop new
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degree in relevant fields (bioinformatics, immunology, computational biology, mathematics, and/or statistics). Strong programming skills in R and/or Python Demonstrated strong ability in analyzing high
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at the Department of Electrical and Computer Engineering, as well as Ethiopian researchers specializing in Geophysics and Nature-based solutions. The candidate must be willing to participate in field work in Ethiopia
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Biology Research Centre at Human Technopole combines computational and experimental techniques to study how tumours arise and evolve. Our goal is to measure the evolutionary processes in human cancers
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, maintenance, and data analysis. Strong background in MS-based proteomics data analysis and familiarity with modern computational tools. Additional experience in high-throughput proteomics, low-input proteomics