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background in computational biology, machine learning, and bioinformatics, with a passion for understanding the underlying mechanisms of gene regulation. The position provides an exciting opportunity to work
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computer science, or related field; strong algorithmic and programming skills, publications in strong computational biology conferences or journals, and experience or interest in learning biology and collaborating
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are expected to have a PhD in Physics, Mathematics, Computer Science or a related quantitative discipline. Ideal candidates from the biological sciences should have experience with scientific programming. Ideal
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dynamic research community. Research in the Alexander Lab spans scales of biology as well as experimental and computational approaches. The ideal candidate will have a strong interest in gene regulatory
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research fields and of interaction with a broad range of researchers from all over the world through its renowned Meetings and Courses program. We believe that science is for everyone and our researchers
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the world through its renowned Meetings and Courses program. We believe that science is for everyone and our researchers have a wide variety of backgrounds. Compensation and Benefits Our employees
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program. The selected candidate will be provided significant resources, including access to state-of-the-art laboratory space and core facilities. The post enables researchers to discuss complex science in
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biomedical research fields and of interaction with a broad range of researchers from all over the world through its renowned Meetings and Courses program. We believe that science is for everyone and our
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over the world through its renowned Meetings and Courses program. We believe that science is for everyone and our researchers have a wide variety of backgrounds. Our employees are compensated in many
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through its renowned Meetings and Courses program. We believe that science is for everyone and our researchers have a wide variety of backgrounds. Compensation & Benefits Our employees are compensated in