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Field
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documented expertise in the following areas: A PhD in a relevant field, with experience in robotics, particularly programming of humanoid platforms An engineering degree in a field related to: Mechanical
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learning sciences, educational technology, computing or computer science education, educational psychology, curriculum and instruction, STEM education, or a closely related field by the date of appointment
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the theory of brain-inspired algorithms and apply them to complex, real-world problems. The successful candidate will join an interdisciplinary team of computer scientists, mathematicians, engineers, and
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systems, from the physical fabrication of flexible printed circuit boards (FPCBs) to the implementation of machine learning algorithms for real-time signal analysis. The postdoc will collaborate in a
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publish research findings in peer-reviewed high-impact journals. Required Qualifications A postdoctoral research associate requires a PhD in Electrical Engineering, Physics, Materials Science and
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Science Research unit: https://genomics.iit.it/ ESSENTIAL REQUIREMENTS PhD in computational biology, machine learning, bioinformatics, physics or related fields; High proficiency level in programming
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Qualifications: A PhD, MD/PhD, or equivalent research doctoral degree in neuroscience, biomedical data science, computer science, psychology, psychiatry, statistics, engineering, applied mathematics, or a related
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techniques; large data processing and high performance computing; advanced causal inference and statistics; computer vision and novel applications of machine learning. Advanced knowledge of R or Python is
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research Managing and analyzing data, implementing machine learning algorithms on data Conducting literature reviews Preparing presentations, manuscripts, and grant submissions Assisting with research
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execution and integration – emphasizes strategic collaborations, market and regulatory analysis, technology transfer, and more. Click through to learn more about each area: Strategic Systems Analysis and