#Postdoc Research Scientist in Computational Vaccinology
Pandemic Sciences Institute, Li Ka Shing Centre for Health and Information Discovery, Old Road Campus, Headington, Oxford, OX3 7LF

https://my.corehr.com/pls/uoxrecruit/erq_jobspec_version_4.display_form?p_company=10&p_internal_external=E&p_display_in_irish=N&p_process_type=&p_applicant_no=&p_form_profile_detail=&p_display_apply_ind=Y&p_refresh_search=Y&p_recruitment_id=187018

#Postdoc Fellow in Infectious Disease Modeling and Causal Inference: Impact of Nonpharmaceutical Interventions on COVID-19 outcomes

https://postdocs.stanford.edu/prospective/opportunities/open-postdoctoral-position-faculty-mentor-marc-lipsitch

#Postdoc Researcher in Computational Social Science | Aalto University
https://www.aalto.fi/en/open-positions/postdoctoral-researcher-in-computational-social-science

Research fellow (University Researcher) in AI for Population Health and Genomics
https://jobs.helsinki.fi/job/Helsinki-Research-fellow-%28University-Researcher%29-in-AI-for-Population-Health-and-Genomics/1365198157/

Linköping University

#PhD student in financial mathematics or financial statistics
https://liu.se/en/work-at-liu/vacancies/29073

#Postdoc in Financial Mathematics or Statistics
https://liu.se/en/work-at-liu/vacancies/29133

Author-Paid Publication Fees Corrupt Science and Should Be Abandoned

https://osf.io/preprints/osf/3ez9v_v2

Fully funded #PhD position in infectious disease modeling and inequalities

Supervisor: Prof. Michele Tizzoni, University of Trento

https://www.unifi.it/en/study-us/after-graduation/phd-programmes/phd-courses/cycle-42-call-applications

#PhD vacancy: Migration Narratives in Digital Societies

How do online migration debates become politically consequential?

Migration has long been central to political contestation, but digital platforms have transformed how it is discussed. Online debates do not revolve around facts alone. They unfold through rapidly circulating narratives that combine language, images, personal stories, and emotional appeals.

➡️ We are looking for a PhD candidate with strong quantitative research skills. You will combine multimodal social media analysis with survey experiments and data-donation methods, drawing on sociology, political science, computational social science and data science.

https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/phd-a-multimodal-analysis-of-emotion-narrative-and-migration-politics-online

Luis Bettencourt on the Universal Properties of Self-Organizing Cities

People who live in large cities produce more patents per person than those who live in small towns. They also walk faster down the street, and use less infrastructure per person. Indeed, the relationships between these quantities and city population obey power laws with apparently universal exponents, reminiscent of scaling laws is biological organisms? Luis Bettencourt argues that they can be explained in similar ways, using ideas from complex systems and network theory.

https://preposterousuniverse.com/podcast/2026/07/27/362-luis-bettencourt-on-the-universal-properties-of-self-organizing-cities/

AI Reference Verification

A pipeline for checking whether references produced by large language models actually exist, by resolving each one against Crossref and OpenAlex and scoring how well the generated metadata agrees with the real record.

https://github.com/yajiwang/AI-Reference-Verification

#Phd in Complexity Science
https://csh.ac.at/education/graduate-program/

We are looking for students who want to use their exceptional knowledge and skills to make a meaningful difference in society – whether supporting the green transition, combating crime and misinformation, improving healthcare outcomes, or building more equitable economies.

#Postdoc Fellow in Social Reinforcement Learning and Human-AI Hybrid Systems
https://careers.mpib-berlin.mpg.de/jobs/8112072-postdoctoral-fellow-in-social-reinforcement-learning-and-human-ai-hybrid-systems

Surface Data vs. Deep Data
Alyosha Efros (UC Berkeley)

https://youtu.be/vk6lgHjjGp8

Jitendra Malik challenges the "bitter lesson" doctrine, arguing that simple scaling is insufficient for true artificial intelligence. By contrasting passive surface data with active, hard-earned deep data, this talk explores the necessity of curiosity-driven exploration and physical embodiment in creating systems that move beyond mere mimicry to genuine understanding of our world.