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to polarization. Leveraging network science, NLP, behavioral sensing, and causal inference, the project pioneers new methods for detecting and mitigating online harms. Its results aim to inform public health
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, scientific rigor, and innovation. We work in close collaboration with clinicians and other experts in molecular virology, immunology, genomics, and bioinformatics. Qualifications PhD (completed or near
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collection and/or experimentation. We seek candidates who have completed a PhD in ecology or a related field, have strong conceptual and statistical skills, and experience working with large and complex
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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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, 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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participate in a project which investigates and develops novel immunotherapies (cell therapies) to cancer, utilizing both mouse and human systems. Applicants should possess a PhD degree or be close to
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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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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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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