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towards new material discoveries. In this role, you will be responsible for all aspects of the self-driving laboratory, including : the conception and direction of the experimental workflow, benchtop
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. In this role, you will be responsible for all aspects of the self-driving laboratory, including: the conception and direction of the experimental workflow, benchtop-to-automation/high throughput
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Max Planck Institute for Chemical Physics of Solids, Dresden | Dresden, Sachsen | Germany | about 20 hours ago
inter‐institutional research projects in the broadly defined field of quantum materials. Research work will be combined with graduate courses and general skills training. Both experimental and theoretical
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) at Université Toulouse III – Paul Sabatier (UT3) and the Centre d'Études et de Recherche en Psychopathologie et Santé (CERPPS) at Université Toulouse – Jean Jaurès. Experimental work will be conducted
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children within authentic educational settings. The project combines experimental research, classroom studies and computational modelling to better understand what makes children curious, how they decide
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phenotyping, microbiome profiling, predictive modelling and targeted experimental validation to identify the microbial factors that make plants more resilient to disease. Your job You will join the Plant
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assays across multiple zebrafish models of leukodystrophy. Characterise disease phenotypes using multimodal imaging and complementary experimental approaches. Apply advanced imaging techniques, including
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Fixed-term contract: 12 months. What do we offer? We offer a dynamic and inspiring environment with excellent support for experimental work and analysis, and great opportunities for collaboration
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 15 hours ago
Do you want to help transform human health through machine learning and life science approaches? Join AITHYRA in Vienna for a fully funded PhD at the intersection of machine learning, experimental
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experimental approaches with computational modeling to investigate how RNA-mediated alterations contribute to early neurodegeneration in Alzheimer's Disease. The student will use iPSC-derived models and single