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iterative refinement of predictive models. The clinical population ensures that multi-omics insights are directly translated into actionable models and patient-centered strategies Expected outcomes Predictive
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iterative refinement of predictive models. The clinical population ensures that multi-omics insights are directly translated into actionable models and patient-centered strategies Expected outcomes Predictive
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unfold your skills, we have just the right job for you. Within the next 25 years the world’s population will need up to twice the amount of protein compared to today. Topped by the climate crisis, we need
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for a hard-working candidate. Qualifications Required skills A PhD degree within statistical genetics, applied mathematics, computer science, medicine, psychology, molecular genetics, or similar. Advanced
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-channel electrophysiology •Any prior work in mathematical models of decision-making •Prior work with psychiatric patient populations or the biological mechanisms of mental illness About the Department
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populations and synaptic inputs Large-scale extracellular electrophysiology (Neuropixels) Biophysical modeling and construction of ML-based models Statistical analysis of single-cell and population-level
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biomarkers, clinical, and cognitive variables, genotyping and sequencing data, and MRI brain imaging data on patients with severe mental disorders. In addition, we work closely with national population cohorts
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epidemiology/ evolutionary biology and bioinformatics, with the ambition to advance global public health. In the first year, the successful candidate will incorporate models of virus evolution into mathematical
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in projects related to simulation/mathematical/decision analytical modeling and cost-effectiveness analysis for harm reduction and other interventions aimed at preventing drug overdoses (primary focus
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working with genomics data sets. Prior experience working on high performance computing clusters. Prior experience with statistical and mathematical modeling and/or AI. Type Benefited Staff Special