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particularly well suited to tech-savvy students who enjoy a hands-on, "nuts and bolts" approach to experimental physics. Criteria: Applicants have to satisfy the EU MSCA mobility criteria i.e. they must have not
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and apply machine learning and deep learning models to analyse complex, multi-dimensional datasets, including spatial transcriptomic, proteomic, and single-cell sequencing data. The candidate will
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, international, and interdisciplinary environment. This position is part of a Marie Skłodowska-Curie Doctoral Network. Applicants must satisfy the MSCA mobility rule: at the time of recruitment, they must not have
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knowledge in molecular biology, biochemistry and/or cell biology is required. Experience in cell culture and microscopy or protein characterization is a plus. Position Details Start Date: September 2026 or
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introduce significant challenges due to highly dynamic radio environments, heterogeneous backhaul infrastructures, mobility, resource constraints, and service disruptions. The core research focuses on the MAC
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conditions according to the MSCA eligibility criteria: The candidates must not have lived in Germany for more than 12 months combined in the three years before October 2026 according to the mobility
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the three years before October 2026 according to the mobility regulations of the doctoral network Candidates must not have obtained a PhD title elsewhere We look forward to receiving your complete application
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with human or yeast cell cultures are all a strong plus A background in structural biology and translation is the ultimate fit — but above all, we value curiosity, dedication, and a collaborative mindset
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to implement applied research projects. Excellent oral and written communication skills. Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring
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, political mobilization, and perceptions of agrarian transformations and climate change. They will also examine how these production systems, in turn, contribute to the maintenance of natural systems and local