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, and other researchers. Responsible processing of medical data according to ethical standards and legal requirements. Fluent in English and/or German. We Offer Work at the forefront of AI-powered medical
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06.12.2021, Wissenschaftliches Personal The professorship of Data Science in Earth Observation is seeking six new PhD candidates/PostDocs for its new center for Machine Learning in Earth Observation
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Supervision and mentorship of PhD and medical students, fostering their development and guiding them in their research projects Our requirements A PhD in biology, biochemistry, bioinformatics, or a related
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phenotyping, including image analysis evaluations, for trait quantification Handle NGS datasets for RNAseq or SNP detection and linkage analysis using R Your qualifications and skills: You have a PhD or
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with fewer data points and tailored reward functions towards design objectives while generating molecules in 3D. Additional requirements: Doctoral degree (PhD) in computational (medicinal) chemistry
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requirements: • PhD diploma in related field • Excellent skills in statistical analysis • Very good knowledge of English; spoken German is a benefit • Excellent scientific and writing skills Who we are: You will
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a PhD student or Postdoc), please do not hesitate to contact us! Currently, we keep the application process rather informal, but obviously would be interested in your CV and background (if applicable
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model plants. Nature Communications, 15(1), 3488. https://doi.org/10.1038/s41467-024-47744-0 Brixi, G., Durrant, M. G., Ku, J., Poli, M., Brockman, G., Chang, D., Gonzalez, G. A., King, S. H., Li, D. B
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Max Planck Institute for Biology Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 8 days ago
once a year to meet with the consortium. The position is for two years, with the possibility for extension. Requirements PhD (or equivalent international degree) or enrolled in a PhD degree program (or
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development. It is one of the world's leading research institutions in its field and offers natural and social scientists from around the world an inspiring environment for excellent interdisciplinary research