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Field
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server-side languages (Java, .NET, Python, Docker, Flask) • Proficiency with fundamental front-end languages such as HTML, CSS, React Native, Flutter and JavaScript • Understanding of JavaScript frameworks
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Open Source Geospatial software and libraries, e.g. GDAL or other open source geospatial packages under OSGeo; Experience in programming with multiple languages (e.g. Java, C/C++, Python) for geospatial
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of demonstrated experience or an equivalent combination of education and demonstrated experience. Required Skill/Ability 1: Demonstrated expertise working with Linux, Python, and Java. Required Skill/Ability 2
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compilers such as Netbeans, Visual Studio, Eclipse, or similar; 3. 3+ years of demonstrated, successful experience developing software using C, C++ or Java; 4. Ability to apply technical concepts discussed in
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. Have a degree in Electrical Engineering/Marine Engineering/Mechatronics/Other Relevant Engineering Degree. Possessing a Master’s or PhD degree will be advantageous. Experience in C++/Java will be
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other major funding sources. Required qualifications A Ph.D. in bioinformatics, computer science, computer engineering or statistics, and excellent programming skills (R, Java, web programming
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The successful applicant should have a Ph.D., or foreign equivalent, by date of appointment in machine learning from computer science or related areas and be proficient in Java, C, and Python programming
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technologies in the areas of human language processing, machine learning, and virtual agents are needed. Knowledge of Java and Python and experience with cross-platform system administration is necessary
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statistical analysis platforms such as Python, R, and Java. Good communication skills Strong academic records in terms of publications, research project experiences, etc. The individual must be highly motivated
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-on experience in blockchain technology (preferably Ethereum) and/or machine learning. Solid foundation in computer network and/or data analysis. Strong programming skills, preferably in Java. Ability to work