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Field
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, publication, and presentation of results at national and international conferences and in peer-reviewed journals Your profile For being part of the selection process is needed: University degree (Master/ Dipl
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to the success of the whole institution. The Faculty of Electrical and Computer Engineering the Institute of Semiconductors and Microsystems together with the German Cancer Research Center site Dresden, Division
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open to candidates of all nationalities. Selection process Applications should be submitted as a single PDF file to: laganenka@mpi-marburg.mpg.de The file should include: A short cover letter describing
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13.01.2020, Wissenschaftliches Personal PhD position at the Chair of Algorithms and Complexity. Candidate shall work on approximation algorithms for scheduling problems in parallel and distributed
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the second funding period, we focus on chemical and physical transition processes – such as (nanoscale) phase transitions, dissolution/solvation, catalysis, crystallization, or molecular aggregation/switching
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Biology, Biochemistry, Life Science, (Bio-)Physics, Chemistry, Computer Science, or related fields. Visit the IMPRS-LM website for more information about the program, the application process , and the
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electronics, or related areas. • Familiarity with integrated circuit design, signal processing, or multiphysics simulations is advantageous. • Interest in cross-disciplinary research at the interface of sensor
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and develops a wide range of topics related to chemical hydrogen storage along the entire process chain. We place a particular emphasis on LOHC technology, addressing issues across different scales. Our
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methods to make them usable for transparent energy systems analyses. The collected data will be processed and semantically enriched using methods you develop before being transferred to a knowledge graph
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on mountain forest dynamics, and how these can be moni-tored from remote sensing data. Specifically, tasks include: Processing and analysis of remote sensing data Combining remote sensing and field data