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with diverse populations Preferred Education and Experience: * Ability to communicate in Asian languages * Ability to learn new software and procedures quickly * Basic computer proficiency (Excel, Word
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FMUP | 1 (ONE) RESEARCH GRANT | ''BEST-COST" PROJECT (REF. HORIZON-HLTH-2022-ENVHLTH-04)'' | Pr. 412
the scope of the project "BEST COST - Burden of disease based methods for estimating the socio-economic cost of environmental stressors" (Ref. HORIZON-HLTH-2022-ENVHLTH-04), funded by the European Commission
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 4 days ago
required. Knowledge of fundamental concepts of human-computer interaction, practical experience or theoretical of designing/building interactive interfaces, knowledge of usability evaluation methods
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the University of Coimbra's Research Grant Regulations. Where to apply Website https://apply.uc.pt/ Requirements Research FieldEngineering » Computer engineeringEducation LevelBachelor Degree or equivalent
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/electronic/computer engineering or electrical/electronics/computer engineering technology or related engineering field or Associate's degree and demonstrated competencies in the teaching discipline Preferred
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a method of communication; proficient in computer applications including Microsoft Office Ability to write press releases and reports Ability write and administer grants Ability to plan and implement
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, methods to neural population dynamic data manuscript preparation presenting research at lab meetings and scientific conferences contributing to grant proposals mentoring students Lab: https
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production issues, identify root causes, and implement effective resolutions Proven ability to collaborate effectively and have strong communication skills Knowledge of secure coding practices and methods
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aspects pertaining to organizational design decisions relevant to firms operating in (technologically) innovative environments. We are agnostic to methods and pursue formally analytical, simulation-based
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first-principles multiphase flow descriptions with data-driven components Formulate and implement parameter estimation and system identification methods for multiphase flow models Integrate experimental