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, including postdoctoral fellows, PhD students, and 9 permanent staff members, in close collaboration with engineers responsible for the facilities (cleanroom, ion implantation, characterization). The group
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15.06.2020, Wissenschaftliches Personal The 3D Understanding Group at the Technical University of Munich is looking for highly motivated PhD students and PostDocs at the intersection of computer
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wet chemistry and known solid-sate methods such as mechanochemical or pyrolysis. Required qualifications: The candidates must have strong experience in MOF synthesis and characterization with a PhD and
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of agentic behaviour and publishing high-impact research. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background
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investigating astrocyte biology at multiple scales, from molecules to whole-brain function. As such, you will collaborate with an enthusiastic team of PhD students and postdocs from the lab of Mark Verheijen, as
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. The candidates have a PhD degree in Arts, Philosophy, or another relevant subject, concluded with excellent results (or will have it before the start of the employment), and meet the requirements for recruitment
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position. Qualification The applicant must hold a PhD or the equivalent. In assessing applications, particular emphasis will be placed on research potential. Emphasis is placed on research relevant
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 14 days ago
meetings, scientific seminars and conferences. Requirements of candidates: PhD degree in molecular biology, biophysics, biochemistry or related fields of life sciences (the title obtained not earlier than in
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: To be appointed at the Postdoctoral Researcher title, it is necessary to have the PhD in hand. Appointments made without a diploma or certified transcript indicating an earned doctorate are conditional
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Privacy, (iv) Analysis of Academic Collaborations, (v) Human-Bot interaction, (vi) Network Science. The ideal candidate is self-motivated and hard-working with a PhD in one of the following: Data Science