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highly skilled Postdoctoral Fellow with a proven dual‑mode research profile capable of independently performing laboratory experiments and coding predictive AI models in Python to forecast biomaterial
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. The project, "Building the bridge from GWAS to Breeder through multi-omic network data fusion", focuses on transforming GWAS discoveries into actionable breeding insights. Using sorghum as a model, the work
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to promoting equality of opportunity to all. We subscribe to Equality Charter Marks such as the Diversity Charter Mark NI and Athena Swan and have established staff networks such as iRise (Black, Asian, Minority
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outreach and/or being engaged with an EDI interest group (e.g. Women in Research and the BME Staff Network). There is a single post to start immediately. This post will be offered on a fixed-term contract
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frameworks. Expertise in modeling geophysical systems. Strong proficiency in machine learning libraries such as PyTorch. Proficiency in writing clean, efficient, and well-documented code. Knowledge
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Code12489StreetRudower Chaussee 25Geofield Contact State/Province Berlin City Berlin Website https://www.hu-berlin.de/de Street Unter den Linden 6 Postal Code 10099 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn
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Linden 6 Postal Code 10099 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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passcodes, understanding social engineering, and basic coding, at an early and formative stage. It also seeks to enhance teacher expertise in delivering this specialised content and to spark early interest in
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. The post is offered at 80%FTE on a fixed term basis for 3 years, beginning 1 January 2026. ABOUT THE TEAM The Social participation for Universal health Coverage: evidence-informed NetWorks Advancing
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to precinct-scale and regional modelling that supports infrastructure planning, investment decisions, and policy development for net-zero pathways. You will also work closely with industry and government