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, or a closely related discipline with a strong academic record Genuine interest in data-driven and physics-based modeling, molecular simulations, and their application to bioprocesses and bioseparations
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heavily relies on empirical determination of key model parameters. By combining protein structure descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange
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for genotyping). Qualifications Required: Bachelor's degree in Neuroscience, molecular biology, or similar academic discipline Previous experience working with rodent models Minimum 2-year commitment Preferred
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Your Job: At the Institute for Advanced Simulation – Data Analytics and Machine Learning (IAS-8) we are looking for a PhD student in machine learning to work within a project linked to the
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an impact in a societally relevant application In your application, please include a statement of research interest, CV, copies of exams, degrees and grades (transcript of records), a copy of your Master
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position will included tasks related to integration synthetic genetic engineering, time-lapse microscopy imaging, lab-on-chip technology and advanced computer model simulations -- El puesto de investigador
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translational projects employing single-cell sequencing, immune profiling, transgenic models, and molecular biology to uncover pathomechanisms and therapeutic targets in arthritis, osteoporosis, intervertebral
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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simulation and network-based methods for epidemiological modeling. ● Develop reinforcement learning models for decision-making during epidemic outbreaks. ● Documenting the entire process and all the codes