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Field
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Have you completed your PhD? Are you eager to enrich knowledge
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. Experience in thermodynamic modelling and the use of simulation tools such as TRNSYS, EnergyPlus, Aspen, and Computational Fluid Dynamics software packages is essential. Instrumentation and experimentation
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Control (DCPC). Our mission is to generate and translate high-quality scientific evidence that advances population-based cancer prevention and control. Through research, program evaluation, implementation
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hold a MSc qualification (or equivalent) in a relevant discipline such as epidemiology, statistics, public health, health informatics, data science or demography, alongside a doctoral degree or
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Weill Cornell Medicine - Chandwani Laboratory | New York City, New York | United States | 2 months ago
data. This may include keeping a detailed notebook summarizing experiments and recording research data and/or maintaining a computer database of the research data. Tabulate data for presentations and use
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software skills. Preferred qualifications: PhD or MD in Neuroscience, Engineering, Computer Science, Psychology, or a related field First-author publication(s) from doctoral training and a track record of
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-holder must have a postgraduate degree, ideally a doctoral degree, in a relevant topic and excellent skills using statistical software such as Stata or R. Further particulars are included in the job
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outcomes into practical tools, software, prototypes, workflows and partner-facing applications. Duties at this level: Lead and conduct high-quality research in AI-enabled medical, biomedical, biological, and
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industry, clinical, health-sector and medical research partners, and work closely with ACAMI’s Director, Development, to translate research outcomes into practical tools, software, prototypes, workflows and
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community. You may develop projects in fields including • Data and computational science: Bioinformatics, AI/ML, computational modelling, software engineering, data management, data science. • Imaging and