428 computer-programmer-"https:"-"CNR" "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at Nature Careers
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academic leadership; Possess extensive experience in teaching, student supervision, and securing research project funding; Demonstrate the ability to establish a distinguished research programme aligned with
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We are seeking an experienced computational biologist or bioinformatician to support the development of next-generation RNA-based precision therapies. The work is part of a core project within
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://portal.gdc.cancer.gov/, paper in preparation), and ASH HematOmics Program (https://proteinpaint.stjude.org/ashop/, paper in revision). A portfolio of the software features are showcased at https://proteinpaint.stjude.org
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scientists, and program assessment and evaluation. 3. Requirements for the position - The candidate must be able to commit themselves entirely in the long term to IBS research activities and engagement in
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academic leadership; Possess extensive experience in teaching, student supervision, and securing research project funding; Demonstrate the ability to establish a distinguished research programme aligned with
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, Synthetic & Computational Biology. Applications are invited for appointments as Tenure-Track Professor/ Associate Professor/ Assistant Professor (several posts) in the LKS Faculty of Medicine (Ref.: 534174
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We are recruiting a group of postdocs who are eager to pursue ground-breaking biomedical research, and we will help them to establish themselves as future scientific leaders. This postdoc program is
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flagship research programme that defines the future of metabolic medicine, leveraging Singapore's unique position as a global biomedical hub. As a senior faculty member reporting to the Dean and Vice-Dean
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projects within the group of Dr Albert Cardona at the MRC Laboratory of Molecular Biology (LMB), as part of an overall programme aimed at studying the neural circuit basis of behaviour. Specifically, to map
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part of the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), which aims to recruit and train the next-generation of data-driven life scientists and to create globally