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for intelligent brain-computer interfaces? We are offering a PhD position in analog/mixed-signal CMOS circuit design for EEG and wearable sensor interfaces, as part of a pioneering project focused on assistive
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not exclusively, interested in candidates with competence in data management and data mining, machine learning, large-scale optimization methods, and natural language processing. With a position in
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employ cutting-edge single-cell and spatial omics technologies with bioinformatics and machine learning to decipher principles of gene regulation underlying cell identity and its disruption in human
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, bioinformatics, aging biology, epidimological data and AI-driven systems modeling. The successful candidate will develop and apply computational and machine learning approaches to decode the molecular and
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broadly construed , e.g., functional programming, quantum programming, semantics, type theory, effect systems, formal verification, static analysis, reactive, concurrent, and parallel programming, compilers
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bioinformatics A stimulating, inclusive, and international research environment with structured mentoring and career development support Competitive salary and social benefits according to the collective agreement
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partnerships with the University of Leipzig (Bioinformatics, Prof. Peter Stadler), the Helmholtz Center for Environmental Research in Leipzig (Molecular Systems Biology, Prof. Martin von Bergen) and the
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. Application procedure Applicants are advised to read the SDU information on how to apply . The application deadline is February 1, 2026, at 23:59 (CET/CEST). Assessment of the candidates is based
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Christian Andersen, Denmark’s famous fairytale author, the city is home to a vibrant and creative population that hosts numerous festivals and markets throughout the year. Application procedure Applicants
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, biogeochemical, ecophysiological, and model-based investigations. The candidate will explore and quantify how benthic processes influence the exchange of matter between sediment and water column in oxygen-depleted