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disciplines and involve expertise in optics, electronics, image and data processing using machine learning, photophysics, chemistry and biology. The position is therefore particularly well suited for candidates
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, such as AI-driven virtual cells (AIVC), while contributing to developing image-based biomarkers (digital pathology) and AI-based structural antibody design. For this task, a large data lake containing
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the scientific and administrative capacity of ISSP UL by establishing high-level research culture, processes, and excellence indicators. Expand national and international collaborations with top research centres
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on the part of the assessment that relates to the applicant. You can read about the recruitment process at: https://employment.ku.dk/faculty/recruitment-process/ Please note that the applicant will be
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machine learning and experimental design optimisation. Training and Career Development You will gain interdisciplinary skills in machine learning, medical image analysis, and coating design. As a PhD
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, and formulation of clinical study design, image processing, machine learning, and statistical analyses to illuminate specific research questions. Among the machine learning techniques, deep learning
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development of undergraduate and graduate students. Letters of Recommendation are required as part of the application process. Upon submission, references provided will be notified by e-mail with directions
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imaging data (e.g., MRI, CT, angiography) Development of AI-based control methods for continuum robots. Validation and experimental evaluation of control algorithms on robotic platforms Profile and
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at: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images/file
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to a wide range of state-of-the-art imaging, metabolomics, genomics and screening facilities. Project Description Metastatic cancer of various cancer types is characterized by rapid progression and low 5