150 data-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions at Nature Careers
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modules for primary school teachers and educators Conducting education research related to the development and implementation of the PD modules and related actions in participating classes Coordinating data
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discovery, generating mechanistic data that directly informs the development of next‑generation medicines for neurological disorders Base Salary, Academic Level A $113,400 - $121,054 + 17% superannuation
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(e.g. R, Python) and an ability to work with large datasets Strong record of peer-reviewed publications Ability to independently design and execute experiments and interpret data Ability to work in a
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description We invite applications for a 2-year postdoctoral position with the possibility of extension. The successful candidate will lead experimental campaigns and data analysis to quantify greenhouse gas
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for advanced microscopy You will perform live-cell imaging experiments and analyze data You will collaborate with other members of the team in advance microscopy and super-resolution techniques You will develop
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the information encoded in our genome to better diagnose, treat, predict and prevent disease. From the individual patient with rare diseases, to the many thousands affected by complex, widespread illness, we
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links to representative publications on PubMed) Summary of your current research and key accomplishments Names and contact information of three references We welcome applicants from diverse backgrounds
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research management and in leading project staff • Didactic skills / experience in e-learning • IT skills and excellent MS Office skills, dat • Knowledge of: mass spectrometry and analysis of complex data
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technologies to analyze the molecular heterogeneity and connectivity of spinal neurons, explore how descending systems in the brain convey information to the spinal motor system, and define the functional roles
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reactors Maintain detailed records of experimental data, process conditions, and system modifications. Publish scientific articles based on data collected during the research, development, and innovation