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. Here you partly work on your tasks on-site in our institute/ machine park. What you will do Analyze acquired microscopic and video tool wear data Investigate image processing techniques such as spatial
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within the Clusters of Excellence ‘Machine Learning for Science’ and ‘Image-Guided and Functionally Instructed Tumor Therapies (iFIT)’. Requirements PhD in Bioinformatics, Computational Biology, or a
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and/or atom probe tomography Experience in image processing Experience in programming with Python or Matlab is strongly desired Team spirit as well as excellent communication and organizational skills
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) manual annotation of audio, video and images What you bring to the table The following skills are required: experience with algorithm development in Python knowledge of digital signal processing, machine
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) manual annotation of audio, video and images What you bring to the table The following skills are required: experience with algorithm development in Python knowledge of digital signal processing, machine
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its generation and manipulation to its application. The services offered by the institute cover the entire photonic process chain ranging from opto-mechanical and opto-electronical system design to
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differentiation goes wrong during tumorigenesis. We also investigate tumor-specific mechanisms of transformation and growth. To understand these processes, the lab integrates single-cell sequencing, whole-genome
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resonance energy transfer, siRNA mediated gene knock out, cellular imaging, qPCR, etc.) to elucidate unknown interactions between GPCRs and receptor tyrosine kinases at the cellular level. Analyses will focus
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 29 days ago
develop our state-of-the-art imaging systems by optimizing the hardware and integrating real-time data processing and analysis through machine learning techniques to achieve precise characterization
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for imaging plant tissues (rose cuttings) Realisation of a corresponding measuring stand and implementation of test series for imaging Realisation of a data processing routine for the automated detection