59 postdoc-computational-fluid-dynamics PhD scholarships at Technical University of Denmark in Denmark
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the Center for Cancer Immunotherapy (CCIT) at Herlev Hospital, Copenhagen. You will join a dynamic and international team that utilizes in vivo mouse work and human clinical samples to understand
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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 an evaluation committee headed by Professor Hariklia
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-edge motion planning and control for next-generation autonomous underwater vehicles (AUVs). As part of a dynamic, interdisciplinary team, you will contribute to the development of an innovative AUV
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dynamic research environment with strong expertise in the design, characterization, and application of optical fibers supporting higher-order modes. You will also benefit from close collaboration and
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fish‑community dynamics and environmental conditions at offshore sites. The successful candidate will join the Observation Technology research group at DTU Aqua and work in a collaborative project with
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the following profile: Dynamic, independent, creative and goal orientated Strong technical background in immunological methods including ELISA, Flow Cytometry and qPCR Knowledge and hands-on experience within in
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general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally recognized for the excellence of its research, education
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programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally recognized for excellent research, education, innovation and scientific advice. We offer a
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qualifications As our new colleague in our research team your job will be to develop novel computational frameworks for machine learning. In particular, you will push the boundaries of Scalability, drawing upon
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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