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well as researchers from 15 international institutions. More on the project at http://sure-ai.no . Duties of the position Complete the doctoral education until obtaining a doctorate Carry out research of good quality
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Your Job: In the CrowdING project, you will analyze experimental data from large crowds and develop quantitative measures to describe their spatial structure. To do this, you will use and expand
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for nuclear applications, but this innovation prompts key concerns: can existing structural design codes adapt to these novel materials, and how can long-term durability be guaranteed against degradation
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using graph-structured prior knowledge Analyze food-related (multi-)omics data Your Profile The ideal applicant has a strong background in bioinformatics and/or probabilistic machine learning, as
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. Programme duration 7 semesters Beginning Only for doctoral programmes: any time Application deadline Please see https://flores.unu.edu/en/education/phd-programme for current information. Tuition fees per
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and analytic structures for the analysis and modelling of complex sequential data. Path signatures, originating in stochastic integration and rough path theory, provide expressive representations
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affiliated with the Centre, and opportunities for research stays with partners, both nationally and abroad, through its international network. Read more about the Centre and its research at the website: https
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | about 2 months ago
using graph-structured prior knowledge Analyze food-related (multi-)omics data Your Profile The ideal applicant has a strong background in bioinformatics and/or probabilistic machine learning, as
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allows for the precise design of quantum dots while retaining the exceptional mechanical properties of graphene. The electronic structure of bilayer graphene has been intensively studied in recent years
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crystallography, cryo-electron microscopy Research topic: Structural and functional studies of plant transcription factors Principal Investigator: Marta Grzechowiak, PhD I. Project description: Are you interested