212 algorithm-"Prof" "NTNU Norwegian University of Science and Technology" PhD positions in Germany
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modelling. Application of the produced soft sensor to investigate the feasibility of process control. The project will be supervised by Prof. Jürgen Hubbuch and Dr.-Ing. Iris Perner-Nochta. The successful
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application by post to: Bundesinstitut für Risikobewertung Personalreferat Max-Dohrn-Str. 8-10 10589 Berlin Please address any questions about the area of responsibility to: Prof. Dr. Lewejohann: T +49 30 18412
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(CV, motivation letter, 2-3 referees and a copy of Bachelor and Master transcripts) to Elmar Schiebel (schiebel.elmar@zmbh.uni-heidelberg.de ). Mailing address: Prof. Elmar Schiebel, ZMBH, Heidelberg
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applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single PDF file to airmetro at tu-dresden.de or to: TU Dresden,RTG 2947, Herrn Prof. Dr. Hartmut
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can find further information on this website: https://www.kmk.org/zab/central-office-for-foreign-education.html For further information or to discuss the position, please contact Prof. Dr. Georg Feulner .
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preferential consideration. For more information about our certifications, please visit our homepage. If you have any questions, please do not hesitate to contact Prof. Matthias Merker (mmerker(at)fz-borstel.de
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sending it as a single PDF file to airmetro@tu-dresden.de or to: TU Dresden,RTG 2947, Herrn Prof. Dr. Hartmut Fricke, Helmholtzstr. 10, 01069 Dresden, Germany. Please submit copies only, as your application
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general. The successful candidate will join the newly established Heisenberg group “Evolution of chemical communication” (PD Dr. Jan Buellesbach) at the Plant-Insect Interactions group (Prof. Sara D
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are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we
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are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we