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qualifications and experience in Computer Science, Financial Technology, Data Science, Artificial Intelligence, or a similar field. Experience with AI model development and deployment using Python and other
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and Python, bash scripting and deep learning frameworks Ability to acquire and process data from sequencing facilities or public resources, work with HPCs, run, adapt existing pipelines (in-house or nf
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related field, with a strong focus on optimization. Technical Skills Proficiency in programming, preferably in Python or a similar language commonly used in optimization. Familiarity with mathematical
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: Python (Django), Java (Spring), TypeScript (React), Docker, Terraform, GCP. We maintain a DevOps culture and use Scrum for our day to day work. We have also adopted an "open by default" approach to new
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nuanced patterns. Integrate findings across data types to produce actionable insights on AI reliance and critical thinking. Lead backend development in Python, especially for data integration and AI model
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 16 days ago
of an electrochemical reactor, e.g. in Matlab and/or Python Suitable candidates hold a master's degree in the engineering or natural sciences, preferentially in chemical or process engineering, physics, chemistry or
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of professionals. Duties to include: Integrate and utilize AI APIs (e.g., OpenAI, HuggingFace) to perform tasks such as summarization, classification, or generation of content through Python-based automation
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, and 2028 Olympic & Paralympic Games. The ideal candidate will have a strong background in data analytics, be proficient in a general programming language (like Python) or a statistical package (R), and
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candidate will have knowledge in programming, preferably in Python, experience working in a Unix environment. They will be motivated, organized, and will work under supervision to help the investigator
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programming skills in languages such as Python, Java, C++, JavaScript, etc. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud). Possess strong supervisory and project management skills. Good