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discovery, and the development of novel diagnostic and therapeutic devices. With the goal of “AI for Science,” we are recruiting highly motivated PhD-level researchers with backgrounds in computer
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projects and technical leadership. Basic Qualifications: Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related technical field. Proven experience in
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and simple embedding alignment to develop architectures that can process and reason across modalities (vision, language, audio, sensor data) from the ground up. How do we build a truly unified
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, such as biology, chemistry, physics, neuroscience, applied physics, data science, bioengineering, chemical engineering, computer science, electrical engineering, materials science, neurology
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. Data Analysis and Interpretation: Collect and analyze experimental data, interpret results, and draw meaningful conclusions. Utilize statistical toolsand computational modeling techniques to enhance data
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. Requirements: · A PhD in Physics, Materials Science, Nanotechnology, Electrical Engineering, or a closely related field at the time of appointment. · Demonstrated experimental expertise and a proven track record
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the composition and function of the microbiome and how the microbiome affects the host. They will be keen to interact with other team members, including PhD students and bioinformaticians, to interchange expertise
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opportunity for the successful candidates to pursue a career in the field of virology or immunology. Required Qualifications A PhD degree in microbiology, immunology or related field. Strong written and oral
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focus on the newly-discovered physical and chemical properties that arise from the behaviour of matter at the nanoscale. ICN2 has been awarded with the Severo Ochoa Center of Excellence distinction
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focus on the newly-discovered physical and chemical properties that arise from the behaviour of matter at the nanoscale. ICN2 has been awarded with the Severo Ochoa Center of Excellence distinction