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of the pharmaceutical compounds of interest AI-based black-box optimisation AI-based synthesis of virtual twins of adrenal patients to simulate treatment outcomes Synthetic data generation (virtual patients) Statistical
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nationalities represented in our workforce Diverse and inclusive work environment empowering our people to fulfill their personal and professional ambitions Gender-friendly environment with multiple actions
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About the Project The future power grid will be a highly complex cyber-physical system, integrating multiple distributed energy resources (DERs) such as solar, wind, marine, and bioenergy alongside
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within a BSc/MSc thesis project. · Ability to effectively and reliably coordinate with the supervisor and multiple collaborators Language skills · Good level both written and spoken
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equivalent in Mathematics, Computer Science, or Statistics Proficiency in one or multiple programming languages (R, Python, Julia, MATLAB) Interest in infectious disease dynamics, public health, global health
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outcomes Synthetic data generation (virtual patients) Statistical model checking to ensure statistical correctness of the results Machine learning–based classification and regression methods The candidate
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in Mathematics, Computer Science, or Statistics Proficiency in one or multiple programming languages (R, Python, Julia, MATLAB) Interest in infectious disease dynamics, public health, global health and
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together to answer some of the most important questions about the causes, prevention and treatment of disease. We are seeking a Senior Researcher to take the lead in the development of statistical and
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-friendly environment with multiple actions to attract, develop and retain women in science · 32 days’ paid annual leave, 11 public holidays, 13-month salary, statutory health insurance
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, including surveys and interviews, across multiple sites. ● Serve as a liaison with camps, the ACA (American Camp Association), and other stakeholders to ensure smooth communication and logistics. ● Prepare