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of a team performing both ex-vivo and large animal in-vivo studies) of catheter-based cardiac/myocardial ablation. The clinical applications investigated will include ventricular tachycardia and
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correlates of protection, analyse large and complex datasets, and perform other duties as assigned. The Post-doctoral Fellow will work semi-independently under the supervision and mentorship of senior academic
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datasets generated by the Phenomobile.v2+ to identify key traits affecting crop performance under stress conditions. Implementing a multimodal approach for large-scale data analysis using CPU and GPU
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-30 Information for International Applicants Choosing a career in a foreign country is a big step. Thus, to give you a general idea of what we and Gothenburg have to offer in terms of benefits and life
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engineering, or a related field. · Strong background in machine learning or data analytics and hands-on experience handling big data. · At least one year of research experience in transportation
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developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health
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not limited to, QC filtering, enrichment profiling, sequence content comparison, data tracing, and graphical representation. - Large-scale in vitro production and characterization of mRNA. The most
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of publishing academic research papers is highly preferred. The appointee will work on healthcare big data related project; carry out administrative work; supervise research-support staff and work in
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and programming experiments, analyzing data, interpreting results, and writing research manuscripts to be submitted to peer-review journals. Grant-writing mentorship will be provided. The Postdoctoral
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar Department: Engineering