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the contract will be bound, as well as collaboration in the teaching and third mission activities of the Faculty. In particular, the project sits at the intersection of XAI (Explainable AI) and complex systems
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, developing complex numerical models and validating them against datasets generated by collaborators. The candidate will use surrogate modelling and data-centric approaches to complement simulations
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on open-set recognition, foundation models, multimodal approaches, and uncertainty-aware, incremental learning to build adaptable AI systems that recognise known species while handling unseen classes
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of the position is the development and application of finite element methods for modelling static strength and fatigue behaviour, as well as design and optimization of complex structures. You will work
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We are seeking a motivated and collaborative individual to join our team as a Post Doctoral Research Assistant – Managing Data and Information Security in Complex Environments, based in
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Researcher in Numerical Modeling of Sea Ice We are seeking a highly motivated Doctoral Researcher to join our ice mechanics research group at Aalto University to work on collaborative project between Aalto
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This PhD asks a different question: instead of demanding more data, can we build language models that learn smarter from less? You will design AI architectures that adapt to the structure of a
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, and prepare for successful, fulfilling futures. This is an excellent opportunity for an experienced mental health or inclusion professional to support students with complex needs and play a key role in
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Formal Modeling of Clock Glitch Attacks for Security Verification of Processors H/F Research context Embedded processors are increasingly deployed in security-critical applications, making
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research programme in fundamental AI, AI co-scientists, and applications in complex scientific domains such as RNA sequence-function modelling, structure prediction, and inverse design. Further information