23 master-"https:" "https:" "https:" "https:" positions at Delft University of Technology (TU Delft) in Netherlands
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validate your ideas on real chips alongside an international team; thus, it is also critical for you to be a team player, communicating smoothly with your colleagues. Your main activities will include
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expected to be able to act independently as well as to collaborate effectively with members of a larger team and supervise Master students. Good English skills are required. The work takes place in Delft
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to the adaptation of the Environmental Noise Directive for these new technologies. Your main focus will be to develop machine learning-based drone noise models that will be able to generate an accoustic footprint
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of 10 members with interdisciplanary skills. The candidate will also coordinate with two postdocs and two principal investigators located in Japan and in the United States. Job requirements Must haves
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algorithms. Biological knowledge is a plus, but not necessary. Mathematical Maturity: Ability to write mathematical proofs and formal texts as evidenced by a master's thesis report or similar documents
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. For further information, see: https://www.tudelft.nl/en/faculty-of-applied-sciences/about-faculty/departments/imphys/about-the-department/verweij-martin https://ei.tudelft.nl/Research/theme.php?id=41 Job
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-of-the-art InSAR processing infrastructure and unique real-world datasets. An inspiring research environment with strong links to industry, authorities and local stakeholders. Job requirements Master's degree
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to uncover shared mechanisms in cancer and neurological disorders The primary emphasis is on method development, guided by real-world biological and clinical questions arising from the ADORE consortium
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diverse group of people from different countries and disciplines, and we welcome candidates who contribute to and enjoy this diversity. Job requirements You must be able to demonstrate: Masters degree in
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classical waves, forming a new regime of dispersive wave interactions. Thus, the nature of bandgaps in boundary layer flows remains unclear and unexplored. The main objective of this project is to