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Experience in mass spectrometry-based proteomics, structural biology, or CRISPR-mediated gene editing Proficiency in computational data analysis Strong communication and collaborative skills and an interest in
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that can then be tested quickly in the lab rather than remain computational predictions? Do you also wish to work closely with experimental biologists and gain a solid grasp of how experimental work is
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materials to address the global energy problem. To benchmark a new material experimentally, we must be able to detect reaction products with high sensitivity and good time-resolution. In close collaboration
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of the piezoelectric materials by advanced design and fabrication methods. Fabrication of piezoelectric transducers onto optical fibers. Design the experiments to employ the integrated acoustic probe for preclinical
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are looking for candidates who have experience with developing AI or machine learning models, as well as bacterial sequence analysis. You should be familiar with relevant programming languages such as Python
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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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hands-on experience in molecular cloning, cell culture systems, mouse models, and interest in liver disease biology. Experience with R or Python and the computational analysis of next-generation
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foods for the future? If you have knowledge within the area of allergy and protein-chemistry as well as have hands-on experience with cell-based in vitro models and are looking for a PhD fellowship
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evaluate BCI algorithms for decoding motor intentions Integrate BCI systems with KAIST’s advanced exoskeletons Conduct experiments with healthy subjects and stroke patients Collaborate closely with a KAIST