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Field
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. Novel techniques, such as microscopy, fluorescence microscopy, and light-field imaging allow users to gather more useful information with higher levels of details than ever imagined. However, lots of
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. Our research combines innovative approaches in protein engineering, microscopy, and chemical biology to investigate neuroimmune interactions and mechanisms underlying neurodegeneration, both through in
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of Dr Jing Ren at the MRC Laboratory of Molecular Biology (Cambridge, U.K.) to map the serotonin circuit development by tissue clearing and expansion microscopy. The serotonin (5-HT) system is essential
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handling, electrophysiology, immunohistochemistry, microscopy), maintain laboratory records, inventory, compliance with safety protocols, support in the preparation of manuscripts, presentations and grant
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experimental research in nanoparticle catalysis using advanced operando electron microscopy This collaborative PhD project between Technical University of Munich (TUM) ( the group of Prof. Barbara A.J. Lechner
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with excellent English proficiency to explore this fascinating intersection of experimental physics, machine learning, and complex systems. A background in optical microscopy and machine learning is of
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degree in neuroscience, molecular biology or a related field Practical experience in experimental laboratory work and advanced microscopy Experience in animal handling and experimentation Proficiency in
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well as modern genetic engineering methods and microscopy. Requirements: a very good MSc or equivalent degree in Biology, Biochemistry/Biophysics is required for employment experience in cell or molecular biology
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angle measurements, light and electron microscopy including advanced staining techniques, Raman spectroscopy, mass spectrometry, transcriptomics, transgenics and bioinformatics. This project offers a
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), immunofluorescence and microscopy Prior experience in RNA biology, NGS and/or Metabolism is an asset Understanding of common bioinformatics approaches and experience with one of the main programming languages for data