8 machine-learning-phd positions at Aarhus University in Denmark

Research Assistant, Center for Humanities Computing

, students, and academic staff to gather feedback and insights on the use and effectiveness of AI-driven educational tools. - Stay abreast of advancements in AI, machine learning, and computational

Postdoc in science and technology studies at the Department of Digital Design & Information Studies at the School of Communication and Culture (re-advertisement)

applicant will be expected to teach in English. Qualifications Applicants must have a PhD degree or document equivalent qualifications in a relevant field related to STS, information studies or neighbouring

Postdoctoral scientists in psychiatric epidemiology and/or statistical genetics - National Centre for Register-based Research, Aarhus University

analyses using Danish register data and/or large genetic datasets. This may include genetic analyses, causal inference, epidemiological analyses, and clinical prediction modelling using machine learning

Postdoc: De novo protein design for neuroscience

improvements in machine learning have dramatically improved the accessibility of de novo protein design. In this project, we seek to exploit these developments to interrogate the role and mechanisms of receptor

Research assistants - National Centre for Register-based Research, Aarhus University

. using programs like PLINK, bigsnpr, regenie, BOLT-LMM, GCTA, LDSC, LDAK, LDpred1/2, PRS-CS, SBayesR, PRSice. Machine learning approaches, e.g. deep learning, autoencoders, XGboost, or penalized regression

Postdoc in Remote Sensing for Agroecosystem Sustainability

to integrate data-driven machine learning and process-based radiative transfer models for remote sensing retrieval of agroecosystem variables. The research project will primarily target the wheat cropping

Postdoc in Design Ethics in Practice

such as Design Research, Interaction Design, Co-Design, Human-Computer Interaction or Computer Supported Cooperative Work as documented by a PhD dissertation and/or research publications experience in

Assistant Professor in the field of “Fluid mechanics and machine learning for digitalization of wind energy”

The Department of Mechanical and Production Engineering (MPE) at Aarhus University is expanding its activities in the fields of “Fluid mechanics and machine learning for digitalization of wind