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different disciplines and mentors Stanford Departments and Centers: Medicine, Biomedical Informatics Research (BMIR) Biomedical Data Sciences Postdoc Appointment Term: 1 year minimum with the option to extend
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our understanding of mental disorders by applying novel analytical tools to differences in genotypes and environment to predict disease trajectories. The project is part of a Nordic initiative in large
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., cracking systems, storage, gas power cycle, gas turbine) Familiarity with Systems Engineering approach Experience with: ASPEN plus ASPEN Hysys Python or relevant programing language Transient simulations
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of (epi-)genomic sequencing data generated on biofluids from cancer patients. You will develop novel strategies to integrate the different omics data layers. You will validate results by comparing the data
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performance and degradation of electrolysis in dependence on different operating modes Your Profile: Completed Master’s degree in chemical engineering, computational engineering, computational mathematics, data
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training a machine learning algorithm on Greenland satellite – model surface melt differences and characterize what atmospheric forcings are most strongly associated with meltwater production biases using
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transplant recipients and individuals with sickle cell disease, using different tools including multicolor flow cytometry, single cell mRNA transcriptomics (scRNA-seq), and quantitative/functional antibody
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high-risk individuals, and tailor treatments based on individual genomic differences. The post-doctoral fellow will work on large-scale genetic data analysis, genetic risk prediction, multi-omics, and
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positions in the professional ranks. Preferred Qualifications Strong background in mathematical modeling, optimization, and simulation techniques. Proficiency in relevant software tools (e.g., MATLAB, Python
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modeling (regional planning, ecological, hydrologic climatic, or wildfire modeling). Experience with scientific software development in C/C++, FORTRAN and/or Python. Experience working with geo-spatial