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, and an invested interest in algae biochemistry. The Algae Biochemistry group (https://plen.ku.dk/english/research/plant_biochemistry/algae-biochemistry/ ) Currently, the Algae Biochemistry Group (ABG
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of multiple matrices, is comfortable with research communication to a variety of audiences, speaks a Nordic language. Furthermore, the candidate should be well-organised and able to structure complex tasks
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curiosity-driven working culture. The research activities are carried out in research groups joined into three multidisciplinary research programs. The Institute hosts several shared research infrastructures
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with Down syndrome. These data sets are rich and ready for data analyses. The ideal candidate will have experience analyzing MRI data and an interest in language or communication. A two-year commitment
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A postdoc position in the Torben Heick Jensen lab, Aarhus University, Denmark: Mammalian Nuclear ...
interdisciplinary team. Good communication skills in written and spoken English are essential, and applicants should have a strong publication record with clear contributions as first author. Who we are In the Jensen
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language models (gLLMs) with their applications to genetics, e.g. in identifying causal genes for Alzheimerâ™s disease (AD). You will have access to state-of-the-art computational infrastructure such as A100
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the Division's Office of Program & Employment Compliance at compliance@uada.edu . For general application assistance or if you have questions about a job posting, please contact Human Resources at 501-671-2219
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learning (AI/ML) being a major focus. Many of the laboratory's interests center around the identification of small molecules using mass spectrometry data, and the use of language models to predict
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retinal tissue biopsy. The project is funded by the Emmy Noether programme of the German Research Foundation (DFG) for a three-year period, with the possibility of an additional three years. We offer: a
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learning (AI/ML) being a major focus. Many of the laboratory's interests center around the identification of small molecules using mass spectrometry data, and the use of language models to predict