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Royal Netherlands Academy of Arts and Sciences (KNAW); 17 Oct ’25 published | Netherlands | about 3 hours ago
student assistants you will assess these effects by studying the seven most exported commodities from the Global South (sugar, cotton, coffee, tea, precious metals (gold/silver), opium and cereals). Your
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reinforcement learning Experience working with structured data formats (e.g. JSON/XML), and XSLT Advanced Java (Java 8+) proficiency Practical experience in data analytics projects including automatic data
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the following: Conduct research in the area of aging, balance, fall rehabilitation, app development, and biomechanics. Data Post-processing. Programming using MATLAB, Python, and Java/Kotlin (for Android
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Python, R, C++, or Java with relevant frameworks and libraries required. Independent, highly analytical, proactive and a team player. Proven collaboration with cross-functional teams. Excellent teamwork
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exported commodities from the Global South (sugar, cotton, coffee, tea, precious metals (gold/silver), opium and cereals). Your task will be to focus on the wide-ranging and diverse social consequences
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structured data formats, particularly JSON/XML. Strong understanding and practical experience with XSLT. Proficiency in advanced Java (Java 8+). Experience working as part of a software development team
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code via differential testing)We focus on techniques that apply to real-world software systems. E.g., in the past, we have developed techniques that find and fix bugs in widely used Python, Java, C/C
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. Knowledge, Skills & Abilities : Strong programming skills (Python required; Java/Android or App Inventor experience desirable). Familiarity with statistics and machine learning methods. Interest in
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China, in the context of technology sectors. He/she should have good programming/coding skills such as SQL, Python and/or Java and be competent with statistical packages like STATA or R (STATA preferred
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to build an enterprise application. Experience with Java. Experience or familiarity with REST APIs, CI/CD, or cloud platforms (e.g., Azure, AWS). Interest or experience in Large Language Models (LLMs