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with characterization techniques (such as optical & scanning electron microscopy, image analysis, microhardness measurement etc.) Some of the experiments are expected to be conducted in close
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dynamics and heat transfer research. Programming skills in Python and MATLAB, particularly in machine learning, data analysis, and image processing. Experience working in Linux environments. Ability
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: The position demands a technical background in and skills related to: Detailed characterization of materials (morphology and microstructure by optical & scanning electron microscopy, image analysis
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. The techniques used in the project include protein expression and purification, biochemical characterization, and in vitro reconstitution, cell imaging, western blotting, knock-out/down. Working tasks The senior
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techniques • Explainable AI/ML using visualization • AI/ML-empowered visual analytics of multivariate networks (network embeddings, …) • Large Language Model (LLM)-assisted visual analytics of text, images
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master degree degree is required in relevant areas such as remote sensing, computer sciences, and mathematics. You are also required to have strong background in deep learning for image analysis, e.g
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Protein Expertise Platform, X-ray, proteomics, NMR (850-400 MHz), cryo-EM and Biochemical Imaging Centre (confocal, SIM, FLIM, spinning disk, TIRF, STORM). Project description Autophagy is an evolutionarily
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(transcriptomics, proteomics, imaging). Knowledge on AlphaFold for models in structural protein analysis/proteomics AI/ML Applications: Applying machine learning or AI to predict gene function or discover functional
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of the identified structures via stereolithographic, 3D printing and textile techniques like tufting, machine-based embroidery techniques or non-interlaced 3D pre-forming. Development of advanced imaging and
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injections, tumor isolation, and imaging, when necessary. The general lab works include cell culture, reagent preparation, western blotting, and other biochemical assays. Additional responsibilities include