93 postdoc-computational-biomedical-engineering PhD positions at Technical University of Denmark in Denmark
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for Science & Technology (KAIST), and an external stay at KAIST will be included as part of the PhD program. Qualifications Proficiency with Python Experience implementing various Machine Learning algorithms
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Job Description The Climate and Energy Policy Division at DTU's Department of Technology, Management and Economics offers a three-year PhD position in the Energy Economics and Modelling section
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. These are essential components for optical quantum computers and quantum networks, where one bit of information is encoded in the quantum state of a single photon. You will be part of a team of 10-12 people between
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study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Senior Researcher Manuel Gesto Rodriguez and Professor and Head of Section Per
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with methodologies such as AI-assisted evidence synthesis and quantitative health impact assessment and become part of an interdisciplinary research environment with strong links to DTU Compute and the
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(120 ECTS points) or equivalent in Food Science, Materials Science and Engineering, Packaging Technology, or a related field Documented experience with food and bio-based materials chemistry
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. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by
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will, in addition, sharpen your didactics skills through experience as a teaching assistant. You must hold a two-year master's degree (120 ECTS points) in Robotics, Electrical Engineering, Computer
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structures. Responsibilities and qualifications You must have an academic background equivalent to a Master’s degree in Civil Engineering, Structural Engineering, or Geophysics. To be successful in
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, might be for you! Responsibilities and qualifications Working with colleagues in the MULTIBIOMINE project, you will develop computational methods that use novel strategies to uncover hidden features in