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Field
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and skills required for this position are normally obtained through a Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field; Master's degree preferred and 5
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extant software in conducting data analysis for biomedical datasets. The Microbial Computational Genomics and Bioinformatics Core Laboratory in the Department of Host-Microbe Interactions (HMI) at St
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Susquehanna International Group, Quantitative Research Internship ID: SIG -QSTINT28 [#26690] Internship Title: Machine Learning Internship Program – PhD Hire – NY/Philadelphia area Internship Type
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Engineering, or Computer Science 2. Demonstrated, successful experience programming in algorithm level languages such as Matlab/Simulink, Python or similar 3. Demonstrated, successful experience developing
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Electrical Engineering, Computer Engineering, or Computer Science 2. Demonstrated, successful experience programming in algorithm level languages such as Matlab/Simulink, Python or similar . 3. Demonstrated
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. CORE JOB FUNCTIONS ● Runs and maintains existing next generation data analysis pipelines. ● Assists senior bioinformatics analysts in pipeline and algorithm development and validation. ● Extracts
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, machine learning, and high-performance computing. Experience in leading the development of new math and algorithms for extracting rotational dynamics from correlation spectroscopy and reconstructing 3D
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of function. We have NIH-funded and industry-sponsored projects to develop, validate, and apply computer-based models of electrical stimulation of peripheral nerves to design improved therapies. The successful
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computational tools and algorithms developed in the lab for processing and visualizing proteomics data (known as FragPipe computational platform). The individual will work in close collaboration with other
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magic, quantum circuits, quantum algorithms (3) Quantum many body computations, including sign problem theory, Quantum Monte Carlo method, DMRG, and machine learning Appointments of postdoctoral