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Field
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perform screenings methods to identify molecules involved in the astrocyte-synapse interactions. Experiments will involve the isolation of cells and subcellular fractions from mouse brain as well as the use
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programming language) and a curious mindset. Experience in analyzing spatial data is a plus, and a good command of English (written and spoken) is required. Applicants should be team players, who enjoy
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a broad experimental background and are motivated to work in an international and multidisciplinary setting. Experience with research in low-resource environments, such as sub-Saharan Africa, is
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working on generative information retrieval; Experimental skills: You have strong programming skills and experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and have run large-scale
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; Research background in generative information retrieval, with publications in the leading venues relevant for the topic; Educational experience and ambition: You have experience in the supervision students
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strong background in machine learning, computer vision, or data-driven modeling. You have extensive experience in the development and implementation of AI and machine learning algorithms, ideally with
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algorithms that maximize the information extracted from images and delivered to the robot. To be successful in this role, we are looking for candidates to have the following skills and experience. We welcome
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help you develop and seize opportunities and give you the room to grow. As an employer, we believe that employees should feel vital and happy at work in all stages of life. We are also committed
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a postdoctoral researcher with experience in
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. This means that the majority of the work will concern parallel catalysis experiments in pressurized lab equipment and the synthesis of polyesters at lab scale. The project is part of a larger European