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Field
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develop optical interconnects between different types of qubit systems. The goal of the project is to demonstrate a quantum network that enables remote entanglement and quantum teleportation between atomic
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A postdoctoral position is immediately available at the Advanced Photon Source (APS) at Argonne National Laboratory. The successful candidate will contribute to the development of ultrafast
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and complex system simulations develop, implement, test, and benchmark computational models, algorithms, data pipelines, and research software prototypes contribute to optimisation, simulation, sampling
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antiviral target-discovery by uncovering this terra incognita. To that end, we developed high-throughput, multiplex, high-content multiparametric phenotypic antiviral assays. These allow to screen hundreds
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develop algorithms for this purpose. The group collaborates with several national and international research groups, edits one of the major journals on data privacy (Transactions on Data Privacy), and has
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of these experiments. As part of this, we have developed new algorithms and a completely new web-based platform – EasyNMR - for performing such modelling/simulations. With this position, we seek to strengthen
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algorithm design skills Expertise on ML tools for chemistry, in particular, generative AI Experience with Python, ML, and AI for chemical applications Job Description: A Post-doctoral Associate in Theoretical
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 3 months ago
in RNA biology in the context of embryogenesis can be made, and to support and develop the skills and careers of lab members. English is the working language of the institute and we are building a
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. Responsibilities: Design, develop, and implement state-of-the-art foundation health models and clinical reasoning algorithms. Collaborate closely with top-tier partner universities and clinical/industrial partners
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learning tools and algorithms. The position will also require you to contribute to the development of data-driven methods. The nature of LDMX as an international project will require you to work