47 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" research jobs at BIOMEDICAL SCIENCES RESEARCH CENTRE "ALEXANDER FLEMING"
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biology, engineering, biophysics, computer science) and experience in 3D imaging of brain tissue, image segmentation, and handling large datasets. You are comfortable with machine learning and image
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statement of their background and interests and contact information only for at least three references to AcademicJobsOnline.org https://academicjobsonline.org/ajo/jobs/31488 . We will begin to review
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Chemistry! We are seeking to apply Interlocked Molecules in Catalysis and Chemosensing. Please see our homepage for details: https://www.uni-due.de/akniemeyer/index.php Who are we looking for? The Henriette
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team working to make a meaningful impact on campus and beyond. At Notre Dame, your work matters, and so do you! Job Description Applicants must apply through Interfolio at https://apply.interfolio.com
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inference, and/or survey methodology. Familiarity with immigration policies both in the United States and other regions. Experience in science communication for broader audiences. To apply, visit https
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projects as well as general research involving the application of methods from theoretical physics, mathematics, and machine learning with the goal to understand the brain function. Postdoctoral Fellowships
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and engineering optical setups Experience with coherent control of quantum systems Competence in electronics design and hardware control Ability to acquire and process large datasets Enthusiasm
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/fractionalized phases of matter, via computational many-body physics nonequilibrium quantum dynamics, to quantum computation, quantum information, and machine learning. The Institute provides a stimulating
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, perspectives, viewpoints, and ways of knowing and learning. Candidates should address how they would contribute to the research and/or teaching missions of our diverse and inclusive living-learning community. As
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-body physics nonequilibrium quantum dynamics, to quantum computation, quantum information, and machine learning. The Institute provides a stimulating environment due to an active in-house workshop