227 programming-language-"The-Netherlands-Cancer-Institute"-"The-Netherlands-Cancer-Institute" positions in Switzerland
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for the position: Solid knowledge of machine learning, particularly for time series analysis and event detection Solid programming skills in C#, C++, or .NET-based languages (in addition to Python) Experience with
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Python-based agent pipelines (e.g., LangGraph) and integrate diverse large language models (LLMs) and multimodal vision models. Additionally, you'll build and maintain data flows specifically tailored
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natural language processing to algorithmically detect hate speech across a variety of online venues (newspaper and social media). To do so, we need an up-to-date, high-quality corpus of training data. Job
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documenting scientific results in peer reviewed papers or technical reports, including the redaction of geological profiles and clear and illustrative figures Languages: English required, knowledge of German
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practical programming experience. German language skills are a plus, as the retrieved documents will be written in German. Experience with Large Language Models (LLMs) and/or RAG deployment, for example with
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proteomics approaches for the analysis of post-translational modifications (e.g. phosphorylation, ubiquitination), or MS-based spatial proteomics. Basic programming skills and glycoproteomics experience
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engineering or related fields, and have an outstanding international record of accomplishments in dynamical systems. Furthermore, a strong motivation and indisputable commitment to undergraduate (in German or
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of the staff, efficient use of the budget, timely delivery of research, innovation, and entrepreneurship programs. The Managing Director will actively participate in research and lead excellent outreach within
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Information Technology, Statistics, Signal Processing, or Computer Science (or a related field). Also, strong software development and programming experience is a must. Fluency in the English language is highly
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, and tree physiology. Willingness to travel and undertake extended fieldwork for data collection. Driving license. Experience in ecological data analysis and statistical programming (R or Python