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two crucial research questions: how do materials degrade in solution and solid phase, and what is the (extent of) correlation between these processes? While PhD candidates will design and apply new
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of receiving their PhD. In particular for this position, the following is required: PhD in data science, AI, computer science, machine learning, Earth system science, climate etc., with a thesis subject relevant
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from the areas of few-shot learning, continual learning and modular deep learning, as well as different LLM alignment frameworks, based on reinforcement learning and direct preference optimisation
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(HIMS), in close collaboration with industrial partner BOR-LYTE and Smart Industry testbeds. This position offers a unique opportunity to combine inorganic chemistry, spectroscopy, machine learning, and
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. (Synthesis of complex polymer architectures will primarily be carried out by the partners in Dresden.) Where to apply Website https://www.academictransfer.com/en/jobs/360153/postdoc-position-in-polymer-bru
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in data-driven medical technologies? Are you keen on being part of a vibrant research community, working closely together with a research team and assisting with the supervision of PhD candidates
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builds on our recent works (https://www.nature.com/articles/s41467-025-65282-1 and https://www.nature.com/articles/nature20605 ). Join our team in the https://pomplunlab.com and https
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for the efficient training and fine-tuning of machine learning models. The postdoc will closely collaborate with researchers at the Dutch Language Institute (and Radboud University Nijmegen). Selection Criteria PhD
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to make an impact on both a national and international scale, yet small enough to offer a personal and engaging learning experience. In this way, we contribute every day to a safer and more sustainable
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onderwijs – tto) schools with a linguistically diverse student population. We will investigate how inequalities can be reduced and learning can be promoted through Functional Multilingual Assessment (FMA): a