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Description Job description We seek a highly-motivated postdoctoral researcher to develop to develop advanced computational methods for cryogenic electron tomography (cryo-ET) that enable the visualization
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level skills in the other field. PhD or close to completion PhD in Computer Science, Robotics or related discipline Advanced skills in software development and ROS. Analytical skills to understand complex
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Is the Job related to staff position within a Research Infrastructure? No Offer Description In the face of contemporary technological change, how might the methods of ethics of technology be modified
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that are researched by PhDs and Postdocs to develop HI. It is our aim to be able to use the developed metrics and methods to evaluate how well these projects provide solutions for HI as well as establish synergies
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interdisciplinary and brings together methods and techniques from philosophy, logic and linguistics. You will be conducting research within the Provability work package. The overall goal of this work package is to
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together methods and techniques from philosophy, logic and linguistics. You will be conducting research within the Propositions work package. The overall goal of this work package is to develop an account of
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-dimensional flow analysis. It combines work on experimental techniques with the application of established and advanced 3D-LPT methods. The selection process will start immediately; the intended start date is
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-of-the-art econometric methods such as staggered difference-in-differences, regression discontinuity designs, and causal forest–based identification strategies. We ask applicants to briefly sketch in
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for the efficient training and fine-tuning of machine learning models. The postdoc will closely collaborate with researchers at the Dutch Language Institute (and Radboud University Nijmegen). Selection Criteria PhD
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Indicators 79: 114-121. You will be part of the WP3 team consisting of Prof. Jan Hendriks, Dr Wilco Verberk, Dr Aafke Schipper, and one PhD candidate, and also collaborate with the PhD candidates and