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Department of Systems Biology invites applicants for a senior level research position of Associate Research Scientist. Candidates should have strong scientific and postdoctoral experience. The integration
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machine learning approaches Implement and manage workflows for large-scale data processing on high-performance computing systems Design and perform validation experiments through tissue imaging, molecular
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. The role spans optoelectronic design, coherent detection, timing/synchronization, fiber integration, and signal processing, with end-to-end responsibility from prototype to field deployment. The Research
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review before applying for the opening. To apply for the position, please click the Apply link/button. If you have a disability and need assistance with the hiring process and require reasonable
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applications. Our overarching aim is to obtain a holistic view of interconnected biological systems in health and disease. We develop clearing technologies for cellular-level imaging and deep learning algorithms
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Researcher (R1) Positions PhD Positions Country Poland Application Deadline 10 Sep 2025 - 15:00 (Europe/Warsaw) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Oct 2025
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support PhD candidates in their thesis research Teach courses at bachelor and master level in relevant fields such as artificial intelligence, machine learning, neural networks, computer vision or image
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candidate will also be involved in data acquisition, image processing, segmentation and workflow development to advance structural cell biology research. The World's Brightest Minds Always Innovate At St
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workshops. What You’ll Do: Design, plan and perform method optimization experiments independently Perform data analysis and interpretation, in particular image processing and analysis Present research reports
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, communicate progress, champion collaboration, and ensure the timely completion of projects in alignment with set goals. • Project manage the delivery of large multinational studies including imaging data