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Degree PhD in Health Data Sciences Course location Berlin In cooperation with Institute of Public Health, Charité - Universitätsmedizin Berlin Institute of Biometry and Clinical Epidemiology
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 26 days ago
. To apply, please register then login at the online application portal . For further information, please browse the answers to Frequently Asked Questions and direct any further inquiries to the IMPRS
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is advantageous knowledge and experience in evaluating scientific data, primarily from imaging techniques, is advantageous good written and spoken English teaching experience in the subjects of “Animal
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-auditing at leuphana.de Web: https://www.leuphana.de/institute/imaf.html Legal notice: The information on this website is provided to the DAAD by third parties. Despite careful checking, the DAAD cannot
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- more information about the PhD program at the HZDR can be found here Salary and social benefits in accordance with the collective agreement for the public sector (TVöD-Bund) including 30 days of paid
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considered to be very good. Therefore, the objectives of the Graduate School for Geoinformatics are to accomplish the following: Create an international centre of excellence for research on information
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molecular ML in an exciting, interdisciplinary environment.For more information about our group and research topics, visit: IPB Halle Department of Bioorganic Chemistry (NWC) Who We're Looking For: We’re
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corpora data correlation. Requirements: A master’s degree in Computational Linguistics, Computer Science or related fields. Solid background in Machine Learning and Natural Language Processing Experience
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on the same samples Integrate multi-omics data (e.g., using MOFA) to investigate how patient-specific tRNA modification patterns correlate with treatment response and survival Functionally validate candidate
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morphology (future and conditional) in Spanish, Italian and French. On the empirical side, the project will deliver a theoretically informed cross-linguistic description based on data collected via