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are essential for decarbonizing transport and enabling renewable energy storage, yet their widespread use presents a growing waste-management challenge. Recycling spent batteries is key to recovering valuable
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Job Summary/Basic Function: The Postdoctoral Research Fellow will specialize in computational modeling and data science for water and energy resilience and join a transdisciplinary team as part of
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour ago
Scholar Position Title Postdoctoral Research Associate Vacancy ID PDS004717 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US
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Experience1 - 4 Additional Information Eligibility criteria The position requires a PhD in Earth sciences, applied mathematics, or a related field, experience with topological analysis or data science, and
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and power converters. Our work spans from fundamental modelling and analysis to advanced control design and system optimization. Our specialty is developing embedded control, estimation, and
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Institut of Mathematics of Marseille | Marseille, Provence Alpes Cote d Azur | France | 2 months ago
@agh.edu.pl Work Location(s) Number of offers available1Company/InstituteInstitut of Mathematics of MarseilleCountryFranceCityMarseillePostal Code13 003Street3 place Victor HugoGeofield Contact City Marseille
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18 Sep 2025 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Mathematics Researcher Profile Established Researcher (R3) Country Brazil Application Deadline
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study activities; lead and manage projects. Oversee organization, synthesis and analysis of data and findings. Prepare scientific reports, outcome findings and scientific manuscripts. Participate in
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duties. As a postdoctoral researcher you will primarily participate in data analysis as it pertains to research foci described above. Other work responsibilities may include: data curation and processing
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posting. Work Experience: No additional work experience unless stated elsewhere in the job posting. Skills: Collaboration, Data Analysis, Data Interpretations, Experimentation, Laboratory Operations