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. Undergraduate degree in Biochemical Engineering, Chemistry, or related fields; 2. Ph.D. in Engineering with a focus on techno-economic analysis; 3. Experience with ASPEN or SUPERPRO; 4. A Master’s degree in
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1 Mar 2025 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Engineering Researcher Profile Established Researcher (R3) Country Brazil Application Deadline 31 Mar 2025 - 23:59 (UTC) Type of Contract To be defined Job Status Not Applicable Is the job...
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modeling of neurobiological data. 2. Development of new statistical methods for neurobiological data. 3. Acquisition, processing, and quantitative analysis of neurobiological data. 4. Instrumentation
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statistical analysis software, and experience in handling and analyzing complex databases, as well as writing scientific articles in English, are essential. Experience in dietary intake assessment and cohort
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stakeholders involved in the project.The selection process will include analysis of the letter of interest/presentation (with information on 2 professional references for contact), curriculum summary (https
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for teacher training.The post-doctoral researcher will work directly on these sub-projects, contributing to theoretical and practical advances, participating in data collection and analysis, and collaborating
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) PhD in High Energy Physics and have experience in HEP data analysis workflow (computer modeling generation, reconstruction, etc.), including modern programming languages like Python and C++. Good
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process includes document analysis and interviews with pre-selected candidates. Applicants must submit a curriculum summary (FAPESP model - https://fapesp.br/sumula ), a motivation letter highlighting
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statistics, global numerical modeling, analysis of large datasets, and seasonal and/or subseasonal forecasting. Fellowship: Open to candidates of all nationalities with a Ph.D. obtained by the start of
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-UNESP) in Brazil on an ongoing research project aiming at: a) Development of pipelines and computational tools for the analysis of highly polymorphic genes related to the immune system, including