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experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical and machine learning methods in the context of biological systems Experience with programming (e.g
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interpretation of OMICs datasets (DNA, RNA, proteome) Supervision and technical guidance of Bachelor’s, Master’s, and PhD students, as well as technical staff within the project context Participation in teaching
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machine learning methods in the context of biological systems Experience with programming (e.g., Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted
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to drumming, sonic healing (e.g., in New Spiritualities and SBNR contexts), technologies of sound reproduction and amplification, and underrepresented areas (e.g., Tibetan and Himalayan region, mainland
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spoken Good knowledge of German Good knowledge of Spanish or Portuguese Also welcome are: Regional research connections to Latin America Teaching experience in a university context Prior experience in
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Postdoc in "Navigating uncertainty: Planning marine protected areas in a changing Southern Ocean"...
states, particularly concerning the balance between conservation priorities and economic interests. In this challenging context, the scientific community must continue to generate robust data and
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presence in the broader context of the drastic effects of climate-induced changes and address questions related to improving management, such as: How can vulnerable areas best be monitored? Can local noise
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courage to contribute both to the development and application of new methods to investigate the dynamics and consequences of hypoxia in vivo in the context of different pathologies Excellent oral and
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 1 month ago
will make use of new ALMA, JWST, and HST observations and will be done in the context of the PHANGS collaboration. The successful candidates will work on characterizing and understanding the properties
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state. The project will specifically investigate the role of endogenous retroelements in this context. Immune-functional consequences will be studied using in vivo mouse models, and in cell culture