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Austrian Academy of Sciences, The Institute for Quantum Optics and Quantum Information Vienna (IQOQIVIE) | Austria | about 1 month ago
mechanics, quantum communication and quantum networks, theory–experiment interfaces, quantum aspects of gravity and spacetime physics. Develop original research ideas and contribute to the scientific profile
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Description The post-doctoral fellow will work on research projects related to the network applying a data management plan and statistical analysis plan design, epidemiology, causal inference, semi-parametric
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discussed with the successful candidate depending on their background, expertise and affinities Analysis and publication of results Build a strong network in the field of research Participate in education
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of bioengineering. It is furthermore collaborating in broad, interdiciplinary national and international networks within academia and the industry. The Division of Food and Nutrition Science is one
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Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department of Economic Analysis: Quantitative Economics at the Universidad Autónoma de Madrid (UAM
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Post Doctoral Researcher / Senior Post Doctoral Researcher - School of Biochemistry and Cell Biology
analysis pipelines to deliver real-world translational outcomes and contribute to a multi-omics ovarian cancer knowledge base. Candidates should submit a motivation letter, CV with publications, and contact
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electronic converters in transmission networks. HVDC interconnections, offshore grids, long underground cable systems and grid-forming technologies are fundamentally changing power system dynamics. Ensuring
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regulatory networks in health and disease (m/f/d) Stellenanzeige merken Stellenanzeige teilen We are looking for an enthusiastic Postdoc/PhD to join our research group to study gene regulation in
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sepsis, with a focus on neuroimmune and interorgan communication. Mandatory requirements The successful candidate will have: • Extensive experience with bioinformatics (the analysis of bulk and single-cell
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Qualifications Experience with graph neural networks, machine-learning interatomic potentials, or related scientific machine-learning methods for atomistic systems. Familiarity with uncertainty quantification