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Field
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. Experience in processing and analysing neuroimaging data (e.g., MRI, fMRI, DWI) using tools such as FSL, SPM, AFNI, or FreeSurfer. Familiarity or willingness to learn the Brain Imaging Data Structure (BIDS
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: Good communication and collaboration skills Ability to work both independently and as part of a team Ability to work precise in a structured manner and swiftly adapts to new tasks Good data management
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the timeframe ability to work independently and in a team, be innovative and creative ability to work structured and handle a heavy workload via Unsplash Requirements for competence in English A good proficiency
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professional and personal skills for completing the doctoral degree within the given time frame ability to work independently and in a team, innovatively and creatively ability to work in a structured manner and
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to novel approaches to structure learning, intrinsic motivation, fundamentals of cognition, and the sensorimotor loop, embodied and adaptive robotics. The Research Fellow in Emerging Topics in Adaptive
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on multiscale subsurface imaging using advanced geophysical imaging techniques and on investigating how subsurface structure, material composition, and geodynamic processes influence regional seismicity. Key
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postdoctoral fellow to study HIV-1 vaccine immunology. We use an interdisciplinary approach combining structural biology, molecular biology, biochemistry, and immunology to generate insights that can be
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develop high performance ReRAM devices. To carry out physical vapour deposition (PVD) of ReRAM structures 300 mm wafer using ULVAC Entron system. To coordinate with circuit designer and semiconductor
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the research area or equivalent qualifications, or be close to completion Awareness of the basics of fusion energy generation, emerging technologies and related challenges in structural materials for fusion
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Nature Careers | Government of Canada Ottawa and Gatineau offices, Ontario | Canada | about 2 months ago
-Guided Materials Development for Tomographic Volumetric Additive Manufacturing (TVAM) The Prediction of Structure-borne Sound in Sustainable Low Carbon Building Constructions ALMA Archival Research