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for multiscale computational modeling and the design of functional materials for organic electronics. The scope of duties will also include collaboration with students and PhD candidates, preparation of scientific
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on the sensorimotor mechanisms of speech and their impairments in adult neurogenic and neurological populations with speech‑language disorders. About the Research Program Our labs investigate the neural and
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varies across different strategic contexts. Russian language proficiency and research expertise on the post-Soviet region will be an advantage, but strong candidates without language skills will also be
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of junior students - Writing papers - Composing and writing research proposals - Speaking at international conferences Qualifications: PhD in Chemistry Before applying, please note that to work at McGill
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agreement You supervise or co-supervise MS and PhD students in the group, with an emphasis on training students in skills related to your area of specialization You contribute to group administration, such as
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data for European and international funding applications. Specific Requirements PhD in Physics, Engineering, Mathematics, Computing, Bioinformatics or related fields. Master's degree in Data Science
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Not Applicable Hours Per Week 34.2 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
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University considers factors such as (but not limited to) the specific grant funding and the terms of the research grant when extending an offer. You have a PhD (or are close to completion) in computer
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 3 months ago
skills in computational molecular (bio)physics, statistical mechanics, scientific computing and also a keen interest in interdisciplinary research and collaboration with experimental groups. PhD students
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on research pertinent to the project. By scaling up data, compute and model size, large language models (LLMs) have gained an impressive and ever growing array of capabilities. The next phase of development