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publications in leading international venues. - Guiding and working with Master and Ph.D. students at ECE and collaborators as needed. More information - see the attached link or email: sshreya AT ece.au.dk
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training pipelines using modern ML frameworks Generating data on miBd–pMHC interactions to guide iterative model optimization, espeicially for specificity Benchmarking AI-designed recognition modules against
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diagnostic pathways. Core research tasks include planning, conducting and publishing epidemiological studies using large-scale observational data, primarily register-based, with a focus on effects of ADHD
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hold a PhD in molecular or systems biology, parasitology, or a related field. You possess strong analytical skills and have experience with generation and bioinformatic analysis of omics data. You have
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validation in rodent migraine models Close collaboration with computational protein engineers and clinical researchers Data analysis, manuscript preparation, and supervision of students where relevant
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at mkmisra@stanford.edu (link sends e-mail) with the subject line entitled "Postdoctoral Fellow - Application - Applicant's Name". Does this position pay above the required minimum?: No. The expected base pay
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generation Developing and optimizing generative models for de novo minibinder design Integrating structural biology data into AI pipelines for receptor–ligand interaction modeling Fine-tuning large protein
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modelling of the impact of precipitation on mm wave fixed radio links from the high-end weather station installed at Durham University and measurement data. The successful candidate will be working in
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19.07.2022, Academic staff The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current focus on deep