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of the MFM Fellowship Program, ensuring compliance with ACGME requirements. Serve as a role model and mentor in clinical and academic training. Research & Scholarship Foster an environment of inquiry
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of stochastic modelling, optimization, and data analytics. The position is available from January 2026 and is fixed for a term of 3 years, with the possibility of extension. As part of this role, candidates will
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. Collaborative team player, comfortable working with PhDs, researchers, and programmers Expertise in ocean salinity (and its relation to the Earth’s water cycle), and coupled climate modelling Full-time, 4.5-year
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. Collaborative team player, comfortable working with PhDs, researchers, and programmers Expertise in large scale Southern Ocean circulation and coupled ocean-atmosphere modelling Full-time, 4.5-year fixed-term
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-family-centered healthcare system. Position Type Academic Additional Information Northeastern University considers factors such as candidate work experience, education and skills when extending an offer
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related to biological knowledge of the wet lab experimentation required to gather imaging data is an optional benefit. This posted position is for a Staff Scientist at SDL6 (Human Organ Mimicry). Expertise
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roles and committees, perform administrative functions, provide support to colleagues, and uphold university values. This is a research focused position. Further information can be found by viewing UQ’s
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. This is a part-time (75% effort), benefited position. Required Qualifications: PhD in biological sciences, engineering, or related field Minimum of one year experience in Molecular dynamics simulations
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at the Botnar Research Centre. The role will be interesting and varied, including: the development and validation of prediction models, carrying out systematic reviews, cleaning/linking large data sets, and
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, and data modeling skills. Knowledge of programming languages for database management. Ability to create clear and informative visualizations using tools like Tableau or Power BI. Ability to effectively