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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
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project partnership, able to perform within project timescales. Competences in data analytics, machine learning / AI (for example in Python and relevant machine learning libraries), as well as interest and
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Cancer intraoperatively to facilitate radical resection. Job Responsibilities: As a PhD student, you'll focus on: Develop cutting-edge AI models: Train state-of-the-art deep learning models to segment SCC
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procedure, … Where to apply Website https://www.academictransfer.com/en/jobs/349224/phd-machine-learning-for-energy… Requirements Additional Information Website for additional job details https
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simultaneous tracking and feedback via PL and absorption signal, taking advantage of developments in machine learning. Embedding The project is part of a large national initiative, SolarLab, aimed
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interfacial processing (annealing, doping, passivation, recrystallization) with simultaneous tracking and feedback via PL and absorption signal, taking advantage of developments in machine learning. Embedding
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physics-based computer models. Impact: Evaluate knee joint laxity and then optimize surgery and treatment to reduce laxity while permitting natural range of motion. We are seeking a PhD researcher for a 4
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requisites: MSc in engineering and policy, complex systems, data-science, materials science engineering or a related area. Good expertise or strong interest in numerical modeling, machine learning, scientific
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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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, 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