506 computer-programmer-"https:"-"FEMTO-ST"-"UCL"-"FEUP" "https:" "https:" "https:" "https:" positions at Nature Careers
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, and innovation. Responsibilities include guiding program and curriculum development, leading faculty recruitment and professional growth, promoting student success, managing resources effectively
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details about the program are available here: https://arcinstitute.org/programs/science-fellows Additional details about this year's search are available here: https://arcinstitute.org/programs/search
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will be 16 May 2026, or as soon as possible thereafter. The position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more about career
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The Centre for Machine Learning within the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark invites
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integrases using novel protein engineering methods. Works independently to design own research program and develops research plans. Conducts a wide variety of molecular biology techniques, some of which
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program supported by diverse funding sources. Teaching responsibilities will include contributions to both graduate and undergraduate programs, including upper-division undergraduate courses in our Geology
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Development Programme targeted at career development for postdocs at AU. You can read more about it here . At the Faculty of Natural Science at Aarhus University, we strive to support our scientific staff in
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relationships in proteins and developing methods to programme these into functional designed protein. The center will train the next generation of protein scientists for careers in protein design and engineering
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degree in relevant fields. Senior academics should have proven teaching commitment and performance, experience and readiness in cross disciplinary curriculum and program design, and demonstrated service
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working across topics and will: Plan, develop and apply advanced computational methodologies to gain fundamental biological insight in the context of diverse single-cell datasets. Drive innovation and