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- Delft University of Technology (TU Delft); yesterday published
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Field
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, signal processing, wireless/optical communications, and communication system engineering Extensive experience in physical layer algorithm design and performance analysis Proven track record of publications
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track record in wireless communication systems, machine learning, or related fields. Ability to work independently and co-supervise PhD students. Excellent command of the English language, both written
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(including years dedicated to doctoral research) will be assessed. Strong publication track record. Willingness to submit extramural grant applications periodically, particularly highly competitive grant
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and properties of these new polymer materials, as well as their application potential. The main objective is to develop new synthesis strategies and new knowledge on how these bio-based polymers should
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of research objectives and deadlines by discussing with the Principal Investigator and offering creative or innovative solutions. To understand and convey material of a specialist or highly technical nature
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at conferences and workshops under the direction of the Principal Investigator or Grant-holder. To assist with the development of research objectives and proposals. To conduct individual and collaborative research
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research problems in chemistry (ANR TcPredictor project) and to the study of materials under pressure, in particular superconducting hydrides; implementation of a multi-objective Tc-energy approach
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position within a Research Infrastructure? No Offer Description Research theme: Advanced Porous Materials for Offshore Gas Storage and Capture Project abstract: The objective of this project is to develop
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of graduate and undergraduate students.Qualifications - Ph.D. in Polymer Science, Physics, Chemical Engineering, Materials Science, or a closely related field. - Proven track record of research excellence
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GESIS - Leibniz Institut für Sozialwissenschaften | Mannheim, Baden W rttemberg | Germany | 19 days ago
original research on data quality in either digital behavioral data (e.g., data from online platforms, web tracking, smartphone apps) or survey data, including the use of AI methods to assess data quality