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Field
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Hands-on experience with machine learning algorithms and developing/testing complex software systems Basic understanding of hardware/embedded software development Additional Requirements (MSCA Eligibility
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computational imaging, applied mathematics, and structural biology. The research environment is embedded in Linköping University and closely connected to SciLifeLab and the national DDLS program. Read more about
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benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Agroecological Performance Assessment Research subject: Crop production science Description: Assessing how
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research and postgraduate education within computational imaging, applied mathematics, and structural biology. The research environment is embedded in Linköping University and closely connected to SciLifeLab
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work is the Department of Biostatistics (OCBE), Domus Medica, Gaustad UiO campus, Oslo. Job description The position is connected to the project “Bayesian Enhanced Tensor Factorization Embedding
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related to staff position within a Research Infrastructure? No Offer Description Your tasks: Development of methods for designing embedded systems based on large language models (LLMs) Investigation
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responsibilities As a member of a larger team, the advertised PhD position is embedded within the ODYSSEIA programme, funded by an FWO ODYSSEUS Type I Grant, and supervised by Prof. Dr. Ann Brysbaert. As PhD
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Funding for: UK Students Funding amount: Funding will cover tuition fees for UK students (at the Home rate), a stipend at the UKRI rate , and a consumables budget. This is a 3.5-year PhD
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block within this process. You will be embedded both within an experimental and computational team, providing a unique atmosphere where there is expertise to develop the deep-learning models while having
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block within this process. You will be embedded both within an experimental and computational team, providing a unique atmosphere where there is expertise to develop the deep-learning models while having