1,678 data-"https:"-"https:"-"https:"-"https:"-"Dr"-"L2CM"-"L2CM" Postdoctoral positions
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information For further information, please contact: Assistant Professor Emil Laust Kristoffersen, +45 29271306, emillk@inano.au.dk . Application procedure Shortlisting is used. This means that after
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ability to write clean, well-documented analysis code. Ability to work with EEG data and apply multivariate methods to extract meaningful measures relevant to memory and consolidation. Skilled in developing
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main areas of work: Exploration of heterogeneity in GDM risk and GDM subtypes and application of these insights to develop a GDM risk prediction model, based on data from The Danish Blood Donor Study
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, design of experiments, image and data processing. Position Requirements Recent or soon-to-be-completed PhD with strong background in Physics or Materials Science (within the last 5 years) Physics
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/ multi-omic data from human subjects and experimental models, that includes cell culture, mice, and fruit flies. The lab is pursing studies to identify novel genetic drivers and disease biomarkers. A major
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beyond conventional binary "bits" toward multi-level and analog memory systems that enable richer information encoding. A major thrust of the group is the development of in-memory and physical computing
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar - Comprehensive Cancer
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formulations, (2) help carry out the toxicological evaluations of escalating nanovax doses in chickens, and (3) work with other team members in analyzing data from LPAI challenge of vaccinated chickens and
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Job Description This position offers a unique opportunity to work on advanced projects at the intersection of AI, machine learning, computer vision, and multimodal learning, focusing on advancing
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to maintain the security and integrity of the infrastructure related to this role. Knowledge, Skills and Abilities Ability to acquire accurate, reproducible data. Critical eye towards consistency