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committedly strives for gender equality in science, including in leadership positions, and strongly encourages women to apply. Your personal data will be processed for the purpose of conducting the selection
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Additional information on beginning, duration and mode of study The starting date of the PhD project is flexible. The initial funding period is usually three years. Find out more at https://www.bgc-jena.mpg.de
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focused on microbiome research Project management and coordination of related research activities Bioinformatic analysis of microbiome and clinical data AI-based mining and interpretation of omics data
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interfaces for managing, visualizing, and mining complex multi-omics datasets. Integrate quantification, annotation, and pathway information with genomic and transcriptomic data relevant to cancer signaling
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 21 hours ago
. For further information about pursuing a PhD or doctorate at BTU, please refer to the website of the BTU Research Department . Brandenburg University of Technology Cottbus-Senftenberg The BTU welcomes you to
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data for automatic documentation of a worksite within the Marie Skłodowska-Curie Industrial Doctorate (ENGAGE Network). ENGAGE Network PhD Position Mobile working machines (MWM) are critical
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21.10.2025, Wissenschaftliches Personal PhD position developing AI-based 3D perception and sensor fusion methods for real-time understanding of dynamic environments within the Marie Skłodowska-Curie
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-im https://www.bergbaumuseum.de/en/research/research-projects/commodity-frontiers https://www.leibniz-gemeinschaft.de/forschung/leibniz-wettbewerb/leibniz-kooperative-exzellenz Information on data
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At the Leibniz Institute of Plant Biochemistry in the Department of Bioorganic Chemistry a position is available for a PhD in Machine Learning for Enzyme Design (m/f/d) (Salary group E13 TV-L, part
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, the concept of a cross-university PhD programme involving non-university institutions was developed to enable the combination of different scientific and technological disciplines relevant to biomedical data