106 computer-programmer-"https:"-"https:"-"https:"-"https:" positions at Forschungszentrum Jülich
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within the consortium. Your Profile Excellent Master in Computer Science, Engineering, Biophysics, Applied Mathematics, Computational Biology, or a related discipline Proven programming expertise in Python
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doing so, you will combine experimental research with fluorescence microscopy and computer-assisted image and data analysis, and will have the opportunity to contribute your own scientific questions and
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the specific projects above you seek to join, your profile should cover some of the skills listed below. Masters degree in electrical/electronic engineering, computer science, computer engineering
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Master Thesis - Computer Vision for Liquid Phase Transmission Electron Microscopy for Quantifying Nucleation and Growth Forschungszentrum Jülich’s Ernst Ruska-Centre for Microscopy and Spectroscopy
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Your Job Work on a wide range of computer vision and machine learning methods and applications focusing on the aspects outlined above, inspired by the needs of societally relevant applications, e.g
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production of high-quality scientific articles Close cooperation with an interdisciplinary team of neuroscientists, computer scientists and clinicians Your Profile Excellent university degree (Master) in
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production of high-quality scientific articles Close cooperation with an interdisciplinary team of neuroscientists, computer scientists and clinicians Your Profile Excellent university degree (Master) and
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framework for real-time and retrospective occupancy estimation Your Profile Ongoing masters degree studies in computer science, engineering, or other closely related field Good knowledge of
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, computer science, physics, data science, or a related discipline A strong interest in translational psychiatry, neuroimaging and computational neuroscience, and a motivation to work in an interdisciplinary
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microfluidic chips in the laboratory Literature research on the research topic Computer-assisted image analysis using the latest techniques based on deep learning methods Quantitative analysis