1,044 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at Nature Careers
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related to disability, neurodivergence or a chronic condition, please contact us so we can make all necessary accommodation. Find out more about our DEI work here https://group.springernature.com/gp/group
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Job Description SJCRH Be the force behind the cures. From analyzing complex biomedical data in pediatric cancer to creating innovative technologies and computational tools, your work at St. Jude can
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Computer Vision - Assistant Professor Tenure-Track Mohamed bin Zayed University of Artificial Intelligence: Academic Appointments: School of Computing: Computer Vision Location Abu Dhabi, UAE Open
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Germany (https://ngs-kn.de ). Its primary technological focus is on implementing innovative methods for single-cell and spatial sequencing, as well as bulk short and long-read sequencing applications. With
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sustainable cities Successful candidates should have a demonstrated ability to build a world-class research programme related to CityUHK’s strategic research areas, plus a commitment to education and student
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Associate Professor or DTU Tenure Track Assistant Professor in Biomanufacturing and Process Integ...
position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You will be assessed against the responsibilities and qualifications stated above and the
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out more about our DEI work here https://group.springernature.com/gp/group/taking-responsibility/diversity-equity-inclusion For more information about career opportunities in Springer Nature please
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leadership and vision in effecting the academic objectives of the Hub and in fostering a collegial culture; play an energetic role in leading the Hub in its diverse activities, including program development
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Research Associate Development & application of wire-mesh sensors for thermohydraulic test facilitie
(stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as
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dynamics, kinematics, acoustics/vibrations, fluid–structure interaction, control, or other mechanics-driven domains. Experience with applied computational methods and machine-learning–based modeling