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Field
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Computational Biology, Machine Learning and Deep Learning for Computational Biology, Computer Science, Applied Physics and Mathematics, or a related field. - Strong background in protein modeling, structural
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and journals, such as ICCV, CVPR and IEEE Transactions Assist in writing research grant proposals Additional duties may be assigned Qualifications: A Ph.D. in Computer Science, Computer Engineering
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individuals from all backgrounds to apply. Qualifications: Minimum Qualifications: Applicants must meet minimum qualifications at the time of hire. Applicants should possess or expect to complete a Ph.D. in
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this opening! Use the following URL: https://jobs.icfo.eu/?detail=896
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plan to use these data to identify the virus and make inferences about potential human infection and transmission. This will involve analysis of viral evolution, simulation of potential scenarios and
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for information and communication technologies, in particular displays, image sensors and secure communications. The main drive of the group is to carry out applied research which bridges academia and industry, by
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or disturbance at the global scale; (P3) predictive understanding of microbiome dynamics and functioning in nature and engineering systems (e.g., grassland, bioreactors, wastewater treatment systems, etc.). P1 is
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lasers based on colloidal quantum dot technology. The aim is to develop the first chip-integrated infrared quantum dot laser emitting in the telecom wavelength regime as well as in longer wavelengths
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flexible within 2025. Education, Qualifications and Experience We are looking for outstanding candidates with a PhD in physics, electrical engineering, applied mathematics, computer science, or a related
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microscope, scanning tunnelling microscope, etc For more information about the QTWIST Program: https://qtwist.icfo.eu . Share this opening! Use the following URL: https://jobs.icfo.eu/?detail=890