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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 3 days ago
by infrared and ultraviolet spectrometers. The incorporation of simple analytical or more complex 1D/3D numerical models is highly encouraged to aid in proposed data analysis and interpretation. Field
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, interventions, and professional development activities (e.g., manuscript preparation, project management, and grant writing). Mentor matching is an essential component of the selection process. About Arizona
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for candidates with interests in multiscale simulations of complex physical phenomena, from the atomistic/electronic scale to mesocopics and beyond. Of particular interest is the development and application
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medicine, complex disease mechanism, systems pharmacology, bioinformatics, and network science/statistical physics. This position at Northeastern University may include opportunities to collaborate with
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University A globally outstanding centre of teaching and research excellence, a warm and friendly place to work, a unique and historic setting – Durham is a university like no other. As one of the UK’s leading
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or microscopy is an advantage but not required. The ability to advance a complex project both independently and as part of a team, strong communication skills, and proficiency in English are essential. We offer
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2026 or soon thereafter. Information on the department can be found at: BRIC – University of Copenhagen (ku.dk) Our research The aim of our group is to decipher how differentiation pathways
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interactions. Work with primary human airway epithelial cultures and immune cells. Analyze and interpret complex datasets (e.g., molecular, cellular, and/or omics-based data). Assist with development of grant
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minimum of 12 months Appointment Start Date: Early/mid 2026 Group or Departmental Website: https://evodesign.org/ (link is external) How to Submit Application Materials: Please directly contact us at
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of different ecological and evolutionary processes shaping complex host-microbiome systems. - Comparing theoretical predictions with data from host-microbiome systems, in particular from marine environments