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language models (LLMs) Proficiency in Python programming and confident use of Unix/Linux environments; ideally experience with version control systems (e.g., Git) Interest in or experience with semantic web
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the application of machine learning (ML) methods or large language models (LLMs) Proficiency in Python programming and confident use of Unix/Linux environments; ideally experience with version control systems (e.g
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The communication with internal and external as well as national and international project partners The project will include two secondments (6 months each): Stuttgart University (USTUTT): formulation of n- and p
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electrochemical device properties in biological conditions The validation for in-vitro cell interfacing The communication with internal and external as well as national and international project partners
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modellers, molecular biologists and data scientists across IBG-3 and IBG-4 Communicate your science by presenting at conferences, publishing software and peer-reviewed publications Your Profile: Master’s
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PhD Position - Organic Electrosynthesis: monitoring of reaction transients with real-time techniques
of the obtained materials as electrocatalysts Analysis of the activity, selectivity, and stability of electrocatalysts Communication of the experimental data obtained Writing papers and presenting the results
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, physics, or similar, with a strong Machine Learning or simulation background In depth practical experience in at least one programming language (preferably Python) Ideally, some practical experience in
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communication skills in English, both spoken and written. PGI-15 offers an English-speaking environment; therefore, German language skills are not required Our Offer: We work on the very latest issues that impact
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integrated circuit design, testing and simulation using Cadence is a plus Knowledge of evolutionary optimization methods is a plus Very good communication skills in English, both spoken and written. PGI-15
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proficiency in Python and experience with ML/DL frameworks like PyTorch or TensorFlow Strong analytical and communication skills, creativity, and the ability to work independently while collaborating in a team