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Field
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point-of-care spectroscopic sensor to determine the impact of the cell therapy during orgran perfusion. This includes generating experimental data sets with a commercially available spectrometer
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-learning energy trading algorithms that are able to cope with these challenges. By leveraging real-time data, developed algorithms continuously adapt to market dynamics and respond to changing market signals
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Previous publications The grade point average of the master’s degree A curious mindset with a strong interest in medical image analysis and the development of advanced analytical algorithms with clear
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Stage 1: Apply to the University of Melbourne (application deadline is the end of January) Submit application through Study Abroad Research program (SA-RES) Indicate that you are seeking CSC Visiting PhD
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deficiency anaemia. Studies in athletic populations indicate a positive response to oral iron supplementation, with ferritin levels increasing over 4 to 12 weeks when consuming ~100 mg/day. However, many
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and volcanic records in terms of extracting reliable intensity and directional signals, and preparing the input dataset for the models Deriving uncertainty estimates of the paleomagnetic sediment
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equivalent) in computer science, data science, applied mathematics, physics, materials science, or a related field Prior experience in computer vision, deep learning, or signal processing; familiarity with
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Arginine is an amino acid involved in numerous biological functions including cell proliferation, cell signalling, muscle contraction, immunity, neurotransmission, vasodilation and the synthesis
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(subproject B4 - Multiobjective optimization of traffic signals for multimodal traffic): This project aims to develop a cooperative and adaptive traffic signal control approach that addresses the needs
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discipline Demonstrated experience in empirical research (quantitative, qualitative, or mixed methods) Strong written communication skills A clear interest in interdisciplinary research on AI, decision-making