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; philosophy of race; philosophy of computation, technology, and artificial intelligence; metaphysics; epistemology; social and political philosophy; rational choice theory; theories of justice
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successful candidate - we will mutually ensure the work aligns with your goals and aspirations. For more details see https://binyshlab.com/positions/ What will you do? Conventional robotic bodies rely on
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successful candidate - we will mutually ensure the work aligns with your goals and aspirations. For more details see https://binyshlab.com/positions/ What will you do? Conventional robotic bodies rely on
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( https://engineering.unl.edu/mme ) at the University of Nebraska-Lincoln ( UNL ) invites applications for a tenure-track faculty position at the Assistant Professor level. The successful candidate is
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understanding and technological applications of quantum materials through collaborative research spanning synthesis, characterization, theory, computation, and device development. Successful candidates
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second year. Appointment Start Date: September 2026 Group or Departmental Website: https://healthpolicy.fsi.stanford.edu/ (link is external) How to Submit Application Materials: Please submit the
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spanning physics, computation, and advanced instrumentation Appointment & Environment Initial appointment for one year, renewable subject to performance and funding Competitive salary and full benefits
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 16 hours ago
monthly salary of EUR 2.832,10 paid 14 times a year Closing date 1 Nov 2026 Website https://aithyra.at/ View more categories View less categories Discipline Biomedicine , Chemistry , Computing
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inversion methods in python You must have in MSc in Mathematical Modelling and Computation, Earth and Space Physics or a related subject You must have a two-year master's degree (120 ECTS points) or a
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they can contain traces of the data used in their computation. We want to understand the fundamental principles that permit us to build privacy-aware AI systems, and develop algorithms for this purpose