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Field
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production processes, notably focusing on optimizing growth conditions and improving overall process sustainability. WHAT WE ARE LOOKING FOR You hold a thesis-based doctorate in bio-engineering, biotechnology
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
optimization. Participate in collaborative research projects and mentoring. Contribute to academic publications, reports and seminars The selected candidate will be part of the Foundations Cluster of CIDSAI and
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for Quantum Computing Analytics (PGI-12) is to model and improve quantum computing systems on multiple levels. From optimal control of the hardware, over error mitigation and compilation, to application
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-precision hardware without compromising simulation fidelity. Data-centric optimization: Designing and implementing communication schemes and data access strategies targeting post-exascale systems, e.g., using
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: the process modelling and development of CO2 hydrogenation to methyl formate, and the reaction engineering and kinetic analysis of alkylamine synthesis. Your responsibilities include: Reaction optimization
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network optimization for 6G/FutureG wireless networks especially on the Internet of Intelligent Things under the supervision of Dr. Lingjia Liu (https://lingjialiu.ece.vt.edu). Successful candidates will
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& Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor including (but not limited
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. The QML-CVC team (https://qml.cvc.uab.es/ ) is part of the Computer Vision Center at the Universitat Autònoma de Barcelona; the CVC is a center with over 150 persons working machine learning and computer
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science, computation, and clinical research. We are seeking a postdoctoral researcher to join the ERC Starting Grant project SINGuLAR (https://cordis.europa.eu/project/id/101219388 ) at the Balzer Lab
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natural resource solutions, this role provides science-backed decision support to optimize forest management prioritization and climate adaptation strategies across vulnerable landscapes. Decisions