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or engineering Strong computer science skills and some experience with statistical, machine learning, and image processing techniques Strong candidates with electrical, mechanical, and biomedical engineering
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
of critical thinking Experience with photonics, fluorescence, imaging or biochemical methods is helpful Our offer Highly motivated team Flexible working hours World-class institute with outstanding
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) and computer simulation (FEA) Experience in material characterisation and experimental testings Knowledge in impact dynamics Passionate and have interest in pursuing PhD degree. Experience in research
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transfection work Experience with microscopy Experience with RNA-seq Experience with image and RNA-seq analysis, including competence using R or python and computational clusters Molecular biology techniques
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global water contamination through advanced materials science. Your Role: Investigate the structural and chemical dynamics of molecular adsorption processes using advanced characterization techniques
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observed in Drosophila larvae. This interdisciplinary project combines biology, neuroscience, and computational modelling to understand how the larva’s body’s physical properties influence its motor control
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. Given this, the CUI: Advanced Imaging of Matter Graduate School features an interdisciplinary research and training programme for doctoral students and post-doctoral researchers. It is addressed to young
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, Computer Sciences or Aerospace Engineering or a related discipline; a Masters degree in these subjects would be of advantage. In addition, applicants should be able to demonstrate an interest across
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, computational modelling, bioinformatic analysis, and experimental vascular biology. Based in a dynamic translational research environment of data-driven life science, computational imaging, and vascular surgery
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chemistry. Application process Please send your CV, academic transcripts and brief rationale why you want to join this research project via the HDR Expression of interest form to the project lead researcher