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Field
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-deficiency. The hybrid model will combine features of machine learning and statistical models with those of physiological and quantitative genetic models. The PhD candidate will study the available physiology
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project will be to develop novel image acquisition schemes and image reconstruction algorithms for using a combination of tomographic imaging and machine-learning based techniques. You will work with real
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modelling, and an ability to learn new concepts and (computational) methods as needed Affinity with scientific computer programming (e.g., R, Matlab, Python) Proficient communication skills in spoken and
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some academic research experience post-Master level. Demonstrable affinity with archival sources. Strong skills in GIS-based research, additional experience with computer vision and machine learning is a
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-resolution microscopy (PALM, Smdm), single-particle tracking, machine learning, and latest state-of-the-art biochemical analysis tools. You will explore how active enzymes drive cytoplasmic motion and how
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economicssystems/ operations management, econometrics, machine learning, extensive data analytics and qualitative research methods. The student will collaborate closely with advisors to identify, develop, and carry
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of extreme weather events and land use change on vegetation seasonality and efficiency. For this, you will develop and apply geo-artificial intelligence methods, including spatiotemporal machine learning
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, Data Science, or a related field. Strong background in Natural Language Processing (NLP), Machine Learning, or Explainable AI (XAI); Experience with deep learning frameworks (e.g., PyTorch, TensorFlow
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? Are you enthusiastic about interdisciplinary research at the interface of biology and physics? Are you excited about using a multifaceted approach combining mathematical modelling, computer simulations, and
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project. Moreover, the project offers a unique opportunity to work in an international environment and to acquire valuable research experience. The PhD project The project analyzes the potential