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Field
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statistical modeling and analysis of human performance data (reaction time, workload, situation awareness), including mixed-effects/multilevel models. Programming proficiency in Python, R, and/or MATLAB
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. Training is available in a variety of super-resolution quantitative microscopy and image analysis techniques, and mass spectrometry. PI commitment to mentoring and career development opportunities tailored
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interconnected infrastructure networks you build and maintain databases of adaptation measures and evaluate their effectiveness using quantitative methods you collaborate closely with infrastructure operators
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professional network supporting your future scientific career. Key Responsibilities Design and execute mass spectrometry–based workflows for the identification and quantitation of disease-associated antigens
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 3 months ago
control during embryogenesis. We are seeking a motivated, independent scientist with experience in RNA biology, molecular/developmental biology, biochemistry and/or computational analysis of sequencing data
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management, statistical analysis, interpretation of findings and preparation of study reports and publications (while participant recruitment and retention is outsourced). The successful candidate will also
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The SDU Adaptive Intelligence Lab (ADIN Lab) (https://adinlab.github.io/ ) located under the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA
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related field. Strong track record in remote-sensing imagery and/or time-series analysis and ML/DL for spatio-temporal data. Advanced Python skills and experience with ML frameworks and geospatial tools
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analysis, facilitating the discovery of efficient and sustainable synthetic routes for complex molecules in chemistry, pharmaceuticals, and agrochemicals. The position provides a unique opportunity to work
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, laboratory measurements, data analysis, prototype development, publications, and proposal development, while working collaboratively with faculty, students, and external research partners. In accordance with