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experience in teaching, in particular supervising bachelor’s and master’s theses. What do you have to offer You are: Curious and eager to learn Enthusiastic about engaging with young children and their
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computer models as well as being in the lab. You have affinity with analytical determination of pharmaceuticals in difficult matrices. You are able to dive into topics outside your current knowledge base
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. Methodological Approach Candidates will develop and apply state-of-the-art machine learning techniques, including deep learning, representation learning, variational autoencoders, and graph-based models. A strong
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MERLN Institute at Maastricht University. What if you could teach a biomaterial to heal bone by delivering the molecular instructions directly to cells? This PhD project explores exactly that question
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machine learning packages (e.g.PyTorch). Completed academic courses in AI or machine learning. Interest in societal, ethical and philosophical questions. We consider it an advantage if you bring one or more
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build upon the existing Alpha framework (originally developed to model protein quality, see https://alpha-tool.eu ) and further develop it as a research-oriented modelling and demonstration platform
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. Change. Impact! Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment and discover its
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amongst neighborhoods through interventions. Where to apply Website https://www.academictransfer.com/en/jobs/359161/phd-researcher-smart-active-mob… Requirements Specific Requirements A background in either
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is made for you! Information We invite highly motivated students with a strong background in mathematical control theory, and a keen interest in machine learning to apply for the PhD position within
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storage, but their widespread deployment is limited by challenges in energy density, stability, solubility, and cost of electroactive redox compounds. The PhD candidate will develop and apply machine