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meetings and read literature applicable to the research area Analyze data using standard and machine learning algorithm Maintain a lab notebook of raw data and organize data for analysis by senior lab
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. Design and fabrication of fly widgets for use in behavioral assays and physiological experiments Work with microcontrollers to coordinate hardware/software systems. Adapt existing machine vision algorithms
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software packages. Familiarity with core data structures, algorithms, and some exposure to parallel or distributed computing. Strong quantitative and critical-thinking abilities demonstrated through
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computational algorithms for processing large datasets in various languages and frameworks. Pursues independent research projects with the Investigator while also aiding members of the lab on their projects
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contributions, and addressing bugs that arise as the platform is used in active research settings. The platform is built in C++ with CUDA-based computation running on NVIDIA GPUs, and is being developed both
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approach to examine odor detection and perception in insects, from the molecular basis for odorant detection to the neural and behavioral algorithms underlying olfactory plume navigation. One focus
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pioneering research center in Ashburn, Virginia, where scientists pursue fundamental questions in the life sciences. Our integrated teams of biologists, computational scientists, and tool-builders innovate
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of the art (self-supervised) computer vision algorithms (e.g., DINO, Masked Autoencoders, SAM). Experience with ML model deployment, workflow orchestration, and high-throughput data processing and model
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use of supervised fine tuning of a pre-trained vision transformer, U-Net architecture, or related topic. Projects in computer vision for microscopy image analysis are especially relevant. Include a link
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algorithms in computational simulations, and collaborate closely with biologists to propose experimental tests of models in an iterative loop. On this project, you will be working in Scientific Computing with