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Field
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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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partners, thereby ensuring that all DCs will spend time in both academia and industry. The details of each project description and further instructions on How to Apply for them can be found at https
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Social Inequality Across the Entire Life Course Changes in Human Capital, Labour Markets, and Demographic Structures and Their Relation to Social Inequalities in Modern Societies Governance, Institutional
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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | about 11 hours ago
International PhD peers, staff and supervisors Participation in international conferences Diverse intercultural background of students To find out more about DLGS fellows, see https://dlgs-dresden.de/fellows
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Materials” with its about 100 members is a central structural element of the Cluster. It offers a training programme preparing the doctoral researchers not only for their research career and their work in the
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January 2026 Submit application to https://recruitment.mpiwg-berlin.mpg.de/position/32800772 Structured research and supervision Yes Research training / discussion Yes Career advisory services and
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accelerator facilities across Europe. The dependence of direct DNA damage and structural changes on DNA sequence, conformation and chemical environment will be explored and compared with those in the condensed
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Documents to submit: Supervision agreement Report of intent to pursue doctoral studies Copies of university transcripts Curriculum vitae in tabular form Please find all details on this site: https://hpi.de/en
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Sciences , Computational physics , Condensed Matter Experiment , Condensed Matter Physics , Condensed Matter Physics; Condensed Matter Theory; Computational Physics; X-ray Spectroscopy; Electronic Structure
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together leading academic, industry stakeholders, and SMEs to establish a structured doctoral training program addressing critical technical challenges and skill shortages for next-generation of