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Leibniz-Institut für Präventionsforschung und Epidemiologie – BIPS GmbH | Bremen, Bremen | Germany | 11 days ago
, postdocs, and/or senior scientists. PhD projects will be co-developed between the PhD supervisor and the PhD student, and will involve applied and/or methodological research drawing on BIPS’s extensive data
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on BIPS’s extensive data resources or new data collections. An outline of the thesis aims and objectives (the exposé) will be developed within the first six months. PhD students will receive close mentoring
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production of bacteria via mass spectrometry Statistical analysis of the resulting data The successful candidate will have the opportunity to work towards a PhD Required qualifications: University degree (M.Sc
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 12 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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www.asp.uni-jena.de/open_positions and apply within the stated deadlines. We also accept unsolicited applications at any time. Tuition fees per semester in EUR None Combined Master's degree / PhD programme Yes
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electron microscopy design and implement deep learning models to enhance resolution of large field-of-view imaging techniques integrate imaging data across modalities for improved spatial resolution and
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learning tools for the efficient analysis of the experimental data. For more information, visit our web page www.soft-matter.uni-tuebingen.de We are looking for a motivated PhD student to contribute
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whether it may fit your interests, please read some recent papers by our lab before you apply. Additional Information CISPA and the University of Stuttgart have a large interest in increasing the number
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generated in the scattering experiments. For more information, visit our web page www.soft-matter.uni-tuebingen.de We are currently looking for a PhD student to join our team and help us make exciting new
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involved in hormone biosynthesis, degradation, and reactivation, integrating microbiome, metabolome, and cognitive data from large human cohorts (FoCus, SHIP, TREND) as well as complementary mouse models. By