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Demonstrate proficiency in R/BioConductor and High Level (e.g. python) programming languages, Databases (SQL), development and maintaining code repositories (version control) Ability to assess resource
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interdisciplinary team at the Technische Universität Dresden, focusing on the integration of multi-omics data to better understand, diagnose, and treat metabolic diseases (i.e. obesity, diabetes, metabolic
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publication list Two educational or professional recommendations All documents must be in English or include an official English translation. Connect with ORISE...on the GO! Download the new ORISE GO mobile
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publication list Two educational or professional recommendations All documents must be in English or include an official English translation. Connect with ORISE...on the GO! Download the new ORISE GO mobile
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queries, and dashboards Familiarity with (biomedical) image processing Familiarity with processing data collected using wearable devices (biomedical) Experience with natural language processing and Large
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Gastroenterology, Cancer Cell, PNAS, JAMA Oncology, JNCI, Clinical Cancer Research, Nature Communications, Nature Reviews Gastroenterology and Hepatology, Annals of Surgery, etc. If you are passionate about some of
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Australian National University | Canberra, Australian Capital Territory | Australia | about 9 hours ago
, approximate inference, deep learning, or Bayesian optimisation are encouraged to apply. Interpretable Machine Learning for Natural Language – Led by Prof Lexing Xie, this stream applies machine learning
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, and publication list Two educational or professional recommendations. At least one recommendation must be submitted in order for the mentor to view your application. All documents must be in English or
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on JavaScript in your browser and try again. Ulla Schildt/NHM 10th August 2025 Languages English English English Natural History Museum PhD Research Fellow in Plant Evolutionary Genomics Apply for this job See
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predictions and to generate hydrological forecasts. The RF will be part of a research environment with strong ML activities. The post is mainly part of the project ‘HEavy Precipitation forecast Post-processing