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Uppsala University, Department of Information Technology Are you interested in probability theory, statistics, and mathematical modelling? Would you like to develop new methods for uncertainty
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sedimentological (grain size distribution), geochemical (XRF, ICP-OES, C/N), and soil physical (density, pore volume, water conductivity) analyses in the laboratory, multivariate statistical evaluation of the data
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(EO) data can be used to assess different facets of ecosystem functioning in grasslands and forests. Within the project, you will collaborate closely with other PhDs and postdocs to collect field data
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influencing factors and improve the accuracy, robustness and energy efficiency of intelligent sensing systems. Apply AI as an engineering tool: Use signal processing, statistical methods and machine learning
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publications. The position includes structured mentorship in manuscript preparation, career development awards, and preparation for the academic job market. The postdoc will also be expected to present research
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quantitative experts (mathematics, statistics, AI&ML, systems engineering). Supervise, collaborate, and support PhD students and postdocs involved in joint projects. Your profile We are looking for someone who
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22 Jul 2026 Job Information Organisation/Company Bucharest Universty of Economic Studies Research Field Economics Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions
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the Dutch Research Council (NWO). The project embraces four fully-funded PhD candidates and a postdoc. It is a transdisciplinary project in which also private companies and other stakeholders actively
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, statistics, data science, and public health. The goal is to develop new methods that allow researchers to learn from sensitive health data without compromising individual privacy. Using unique, nationwide
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; Proven competence on flow measurement techniques and PIV; Familiarity with optics, lasers, image processing and statistical data analysis Familiarity with flow modelling techniques (CFD) or machine