20 algorithm-development-"Multiple"-"Prof" PhD positions at Nature Careers in Germany
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Multiple PhD Positions in Fundamental Physics and Quantum Dynamics (m/f/d) The International Max Planck Research Schools for Quantum Dynamics (IMPRS-QD) and for Precision Tests of Fundamental
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physiological processes of plant growth, development, reproduction and interaction with other organisms. In a plant’s life, interactions occur at multiple levels: among others, between its plastids and the
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project. We seek to recruit multiple PhD students in 2026 to a range of inter‐institutional research projects in the broadly defined field of quantum materials. Research work will be combined with graduate
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Via Multiple Noncovalent Interactions” in the second funding phase at the Martin Luther University Halle-Wittenberg will start with a highly interdisciplinary and ambitious research program in November
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the development program for the superconducting linear accelerator HELIAC (HElmholtz LInear ACcelerator). HELIAC consists of a normal-conducting injector LINAC and a superconducting section comprising up to four
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PhD student (m/f/d) in the field of chemistry, chemical engineering, materials science or comparable
Integration in the doctoral training network “Digitalization” Access to high-quality training and professional development opportunities on digitalization topics, including programming, research data management
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to your scientific support – ideally with you on board! RESPONSIBILITIES: The mission of the Ziller lab is to develop and apply novel strategies to dissect the genetic and epigenetic basis of complex
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, workshops, libraries and administration. The Max Planck Institute for Plant Breeding Research conducts basic research on plants and their development using a wide variety of methods, in particular molecular
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approaches Encouragement to pursue own research ideas Opportunity to develop an independent scientific profile Possibility to acquire funding to support future projects REQUIREMENTS: Highly motivated and
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engineering Knowledge of machine learning (deep learning) Basic knowledge of computer science or software development, e.g., using Java, Python, or C++ Good communication and information skills, goal-oriented