15 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" PhD positions in Finland
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regenerative capacity of liver tissue. Your work will involve the use of research animals to investigate cell-cell interactions during regenerative processes and to developed new in vitro organoid models. You
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Caro's group, whose core expertise is the development of machine-learning-infused atomistic modeling techniques and their application to important problems in chemistry, physics and materials science
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extensive engagement with industrial partner (e.g. in terms of data collection and development of practice). The doctoral project What happens to the value and purpose of creative work when people create
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theory and non-standard logics, preferably within one of the two branches of the project: Modal Logic of Forcing Inner Models from Extended Logics These are active fields within set theory, with many
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on the interactions between set theory and non-standard logics, preferably within one of the two branches of the project: Modal Logic of Forcing Inner Models from Extended Logics These are active fields within set
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of the University of Helsinki is a leading European space physics group specialised both in observations and numerical modelling of space plasmas. The group provides ample opportunities to develop technical and
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appropriate research questions and acquire the required skills. We aim to create a collaborative environment in order to promote both the research and the selected candidate’s academic development. The position
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the HolistIC project , which develops ultra-low-power system-on-chip designs for next-generation intelligent audio IoT sensors. Your Role and Goals As a Doctoral Researcher, you will: Design energy-efficient
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engagement with industrial partner (e.g. in terms of data collection and development of practice). The doctoral project As AI becomes embedded in everyday work, employees increasingly interact with AI agents
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of Alternative Splicing for RNA Therapeutics Innovation”. The EpiTheraRx project aims to develop computational approaches for identifying disease-relevant alternative splicing events and their epitranscriptomic