Three multidisciplinary postdoctoral scholarships (2 years) at Umeå University (IceLab) Umeå University in Sweden

Umeå University in Sweden is advertising the IceLab Interdisciplinary Postdoctoral Scholarships 2027 , a fully funded postdoctoral opportunity for early-career researchers working across biology, mathematics, physics, ecology, computation, artificial intelligence, and data science. The programme supports interdisciplinary projects in areas such as computational biology , bioinformatics , AI and machine learning , data science , mathematical modelling , ecology and biodiversity , immunology , mic...

Umeå University and IceLab are advertising three multidisciplinary postdoctoral scholarships for a 2-year postdoctoral fellowship programme funded by Kempestiftelserna . One of the available projects is Project C: “Adaptive immunity as an evolutionary response to unforeseen stress” , supervised by Ryo Morimoto together with Eric Libby . The project sits at the interface of evolutionary immunology , theoretical biology , mathematical modeling , and complex systems science . The research asks why ...

[For UK and EU candidates, funding may be available through a college or EPSRC scholarship; the scholarship covers tuition fees, training support, and a stipend at standard rates for 3 to 3.5 years. For non-UK/non-EU candidates, strong self-funded applicants may be considered and exceptionally strong candidates may receive a tuition fee waiver for up to 3 years. CSC-related funding routes are also mentioned for Chinese candidates.] PhD Studentship: Mathematical biology and population dynamics at...

PhD scholarship at the University of Exeter in Computer Science , Machine Learning , and Earth Observation for forest-related applications. The project focuses on using large-scale satellite and lidar/radar datasets to understand forests and improve algorithms for real-world environmental problems. Possible application areas include: characterising forest variation near pre-Columbian earthworks in the Amazon, predicting mixed-forest composition and intra-variability across Europe, or quantifying...

DTU Compute is offering a PhD scholarship in Causal-informed Machine Learning Methods for Climate Modelling as part of the newly started IcyAlert project. The project focuses on improving predictions of Arctic ice-free summers and their potential climate impacts at multi-seasonal time scales using global climate models , causal analysis , and machine learning . This makes the opportunity especially relevant for candidates interested in the intersection of computer science , environmental science...