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on the research interests of the candidate, there will also be opportunities to complement existing data with additional field data collection and/or experimentation. We seek candidates who have completed a PhD in
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methods (at minimum, linear regression (OLS) and logistic regression, as well as familiarity with some advanced methods). Proficiency with statistical software (e.g. R, Stata). Ability to work both
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for researchers who will have completed their PhD by autumn 2026, and fall into two categories: 1) Entry-level Postdoctoral Researcher, intended for candidates with no more than three years of postdoctoral
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, NLP, behavioral sensing, and causal inference, the project pioneers new methods for detecting and mitigating online harms. Its results aim to inform public health, policy, and technology design
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concerned with optimal transport for inverse problems. Optimal transport for inverse problems One of the central topics of the research projects is the further development of theory and methods
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interactive prototypes for scenario testing and stakeholder engagement. Collaborate closely with the PhD researcher to connect environmental data analysis with computational design innovation. Participate in
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to the application form the following documents in English in PDF form (8 attachments): Copy of the Doctoral Certificate (if unavailable, a copy of the official confirmation of PhD completion). Curriculum Vitae
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to the application form the following documents in English in PDF form (8 attachments): Copy of the Doctoral Certificate (if unavailable, a copy of the official confirmation of PhD completion). Curriculum Vitae
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. Integrate environmental, spatial, and social data into digital twin models for scenario testing and policy simulation. Adapt co-design methods to local contexts in demonstrator sites (Portugal, Sweden, Italy
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models using sophisticate genetic tools, in vivo time-lapse imaging and multi-omics methods to decipher the underpinning mechanisms of regeneration. Our findings provide new targetable mechanisms