Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
postdoc’s duties will focus on computational food data integration, predictive modelling and food quality , as well as teaching. The work is embedded in a 24-month interdisciplinary research programme
-
background and research potential: You hold a PhD in a relevant technical or computational field, such as complex systems, data science, urban systems, spatial modelling, engineering, geography
-
and verbal communication skills to engage diverse student cohorts effectively. Experience in molecular dynamics simulations and computational modelling of proteins, with demonstrable ability to work
-
capable of high-resolution, real-time imaging. This involves advanced computational modelling, optical simulations, and experimental characterisation of metasurfaces. The successful candidate will join
-
, with an emphasis either on iPSC-based disease modelling or on computational analysis and integration of multi-omics data. Where to apply Website https://www.academictransfer.com/en/jobs/363694/msca
-
Apply online now : https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=29009 Data Scientist/Computational Scientist – Multimodal and Multi-Agent AI for Precision Oncology (m
-
and computational proteomics as well as teaching. The post may also include the performance of other duties. Further information on the Department is linked at https://globe.ku.dk/. Inquiries about the
-
neuroscience, neuroimaging, and AI/NeuroAI. In this role you will bridge human neuroimaging and computational modelling . You will collect and analyse neuroimaging data (7 Tesla fMRI) acquired during natural
-
ecological questions. Experience with scientific programming, quantitative analysis, or computational modelling, preferably using R, Python, C++, or comparable tools. Interest in working with large ecological
-
educational settings. The research combines approaches from learning analytics, computational modelling, and complex dynamical systems to develop and validate indicators of human-AI interaction