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/Computational Biologist to lead the analysis of complex, multi-modal datasets generated by perturbing living systems with pooled CRISPR screens or small molecules, and profiling the outcomes with orthogonal
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work has revealed that analysis of epigenetic data, in combination with AI approaches, can enable accurate classification of disease states. Your job here will entail the evaluation and implementation
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computational free energy calculations. Familiarity with contemporary MD software packages and analysis tools is necessary. The candidate should demonstrate strong problem-solving skills, attention to detail, and
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bioinformatics and statistics, with experience in analysis of next-gen sequencing data and an interest in evolutionary genetics. Excellent communication skills, a high level of motivation and good spoken and
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living cells. The project will involve experimental work with biophysics techniques, such as microscope operation and sample-labeling strategies. Microscopy-based assays and image analysis will be
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and statistical analysis. Requirements PhD degree in population genomics, bioinformatics, applied statistics or a related area, or a foreign degree equivalent to a PhD degree in population genomics
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the research and education has a unique breadth, with large activities in classical scientific computing areas such as mathematical modeling, development and analysis of algorithms, scientific software
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for one to two PhD students in analytical chemistry to develop analytical methods for single cell analysis and mass spectrometry imaging using direct infusion mass spectrometry. The PhD candidate will work
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and maintain scripts (Python or equivalent) for automation and monitoring Provide user support and collaborate with researchers to ensure efficient system usage Ensure efficient management and analysis
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Medicine and Diagnostics Data-driven precision medicine and diagnostics cover data integration, analysis, visualization, and data interpretation for patient stratification, discovery of biomarkers