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strategies targeting R-loop-associated malignancies. See also https://www.imb.de/wang For a more detailed description of the project including relevant literature, see here[pdf-Datei] . This PhD position
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Project (PhD Position) – Accelerated Materials Development by Combining High-Throughput and AI Approaches Your Job: The accelerated development of advanced materials is essential for addressing major
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two part-time positions (65%) as Doctoral Researcher (PhD Position, m/f/d) in the field of Neurobiology In accordance with § 2 of the WissZeitVG and § 72 HessHG, the positions are to be filled on a
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, experimentally grounded workflow for rapid microstructure-property optimization in steels. The PhD student will play a central role in this interdisciplinary initiative. They will: Develop and apply machine
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machine learning (ML), artificial intelligence (AI) or related fields • Software skills in ML languages such as Python • Ability and enthusiasm to learn new technologies quickly • Ability to work highly
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- Leibniz Professorship for Phytonutrient Management” at the Technische Universität Berlin: PhD student (f,m,div) in the Field of Physiology and Food Chemistry Reference number: 21/2025/3 The salary will be
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in physics, electrical/electronic engineering, computer science, mathematics, or a related field Strong background in machine learning, particularly deep learning and optimization methods Excellent
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Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: Promotion Job description: Your Job: The PhD project is methodologically independent, with
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angiogenesis and stress. We are seeking for 2 PhD students (m,f,x) (E13 TV-G-U 65%) for two projects with a focus on “Epigenetic nuclear regulation by lipids and non-coding RNAs” Life Science, Biochemistry
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01.08.2025, Wissenschaftliches Personal For a scientific project for Spin-Selective Neutron Detection using Quantum Sensing, we are looking for a PhD Position (m/f/x) with 30h/week. The Technical