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recruiting a motivated PhD candidate with a deep interest in plant molecular biology, particularly in the interplay between light signalling, chloroplast biology and photosynthesis. Light photoreceptors
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automated detection tools using deep learning. Where to apply Website https://www.academictransfer.com/en/jobs/349536/phd-position-in-petmr-imaging-f… Requirements Specific Requirements We are looking
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-based infrared sources is emerging as a promising and effective tool. In particular, the newly developed high-power intrapulse difference frequency generation (IDFG) based sources extend deep into the mid
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in MATLAB, R is a plus); Experience with deep learning and machine learning frameworks (e.g., TensorFlow, PyTorch); Familiarity with computational modeling of neural processes; Background knowledge in
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learning techniques and advanced numerical simulation modelling to quantitatively study the electrical characteristics of state-of-the-art perovskite solar cells. The efficiency and stability of perovskite
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Your job Are you looking for a PhD position where you develop state-of-the-art machine learning methods for the life sciences (geometric deep learning, transformer-based approaches, ...) with a
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of methodology for data mining, machine learning/deep learning, data fusion, and modelling and application of these methods to answer biological questions. Novel methodology for the analysis of single-cell
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(geometric deep learning, transformer-based approaches, ...) with a focus on protein-ligand interaction dynamics in collaboration with wet-lab researchers? If so, this fully funded PhD position might be
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diseases. Job Description Recent years have witnessed significant advancements in deep learning and its widespread applications in medical image analysis. However, the integration of these AI-based tools
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machine/deep learning tools for biomarker discovery. Your principal responsibility will be to fulfil all the requirements to obtain a PhD degree at Maastricht University including, but not limited