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100%, Zurich, fixed-term Open PhD position in NCCR Genesis: On the rise of molecular complexity at the Origin of Life The National Centre of Competence in Research NCCR Genesis is a research
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simulation experiential learning activities and opportunities for students. Responsible for assisting faculty in creating, preparing, delivering, and evaluating high-quality simulation experiences. Work with
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of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI implementation. Ability to apply AI to interdisciplinary research or developing AI models
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, metabolomics, transcriptomics) and familiarity with gut microbiome research are expected. Familiarity with constraint-based metabolic modeling (e.g., flux balance analysis) and/or machine learning is a plus
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projects and deliverables May supervise undergraduate students working on the AI/ML projects QUALIFICATIONS PhD (or equivalent) in Machine Learning, Computer Science/Engineering, Biomedical Engineering, or
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PhD in a relevant field (e.g., Computer Science, Physics, Mathematics, Economics) and demonstrate expertise in financial computing, quantitative finance, machine learning, complex systems modelling
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somebody with a PhD in a relevant subject to health workforce research, e.g., health psychology, implementation science, behavioural research, health professional education, social sciences. The postholder
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novel findings that inform disease etiology. The candidate should be interested in focusing on multi-omic integration analytics, machine learning, and/or AI. In addition to carrying out research
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of future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks, we use tools such as artificial intelligence/machine learning, quantum computing
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of Nurse Anesthesia, Doctor of Nursing Practice, Accelerated BSN, Master of Nursing-Direct Entry, a PhD and a Psychiatric Mental Health Nurse Practitioner certificate. The Admissions Specialist is