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challenge the status quo. At Jane Street, you will work alongside a tight-knit team, utilizing petabytes of data, our computing cluster with hundreds of thousands of cores, and our growing GPU cluster
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of learnt features across the layers of various neural network architectures. -- Investigate the role of different types of layers (e.g., residual blocks, transformers) in shaping the learnt features and
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profiler . Experience with GPUs is a bonus. Of course, you need fluency in written and spoken English to communicate your ideas in this interdisciplinary project. Note that we expect from candidates either
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develop various tools that make the design of microfluidic chips easier and solve, e.g., routing and placing problems under different constraints, depending on the use case. Simulation: We use and develop