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- PhD Programme "Gene Regulation in Evolution"
- Leibniz
- Nature Careers
- Constructor University Bremen gGmbH
- Forschungszentrum Jülich
- Georg August University of Göttingen
- Helmholtz
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP) im Forschungsverbund Berlin
- Rhine-Waal University of Applied Sciences
- SAP
- Technical University of Munich
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- Universitätsklinikum Schleswig-Holstein (UKSH)
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language skills (English). Suitable candidates will be invited to the recruitment symposium by 21.06.2024. Recruitment symposium (22.07.-02.08.2024): Qualified applicants will be invited to an online
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the standardization and harmonization of data across platforms. Work with large language models (LLM) and deep learning algorithms to drive the inverse design of materials and uncover new physical and chemical
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. This position is generally suited for part time work. Salary is paid according to the German salary scheme for the public sector for postdoctoral research (E13 TVöD Bund, 65%). The working language at IGB is
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of English is essential, both as the local working language and because of our international collaborations. The PhD positions are available immediately and applications will be considered until
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we offer: Exciting, interdisciplinary projects in a vividly international environment, with English as our working language Advanced training in scientific techniques and professional skills Access
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, interdisciplinary projects in a vividly international environment, with English as our working language Advanced training in scientific techniques and professional skills Access to state-of-the-art Core Facilities
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. Work with large language models (LLM) and deep learning algorithms to drive the inverse design of materials and uncover new physical and chemical phenomena. Ensure the integration and effectiveness of AI
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, interdisciplinary projects in a vividly international environment, with English as our working language Advanced training in scientific techniques and professional skills Access to state-of-the-art Core Facilities
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the computational analysis of high-throughput data (e.g. RNA-seq), proven by a completed MSc thesis project (or equivalent) with a relavant focus Confident knowledge of at least one programming language commonly used
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Basic knowledge of molecular biology, gene regulation and epigenetics as well as deep understanding of sequence analysis, statistical concepts and machine learning Highly skilled in a programming language