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, C++, etc.) Knowledge of machine learning, data mining, or related fields Excellent communication skills and ability to work in a collaborative team environment Interest in social science research
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or microfluidics and ideally in quantitative data analysis. As a theoretical candidate, you have knowledge in quantitative biology, soft matter/complex systems physics or statistical physics. You enjoy working in
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analysis (TEA) or an affinity towards these research questions. - Basic knowledge in bioprocess design, bioengineering and/or mathematic modeling - Affinity towards research question in life cycle
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Master’s degree in biotechnology, bioengineering, biosystems engineering, chemical engineering, food science, or a comparable field of study, preferably with an affinity for technical tasks - Basic knowledge
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from a university with a focus on aerospace, physics, or related fields • Very good and fundamental knowledge in the areas of theoretical fluid mechanics and structural mechanics, as well as aero-thermal
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important to us. Very good knowledge of flow cytometry is essential for this project. We offer a highly interesting research topic with direct relevance in a stimulating and interactive research environment
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TensorFlow, PyTorch, Stable Baselines). Solid knowledge in the areas of machine learning, algorithmics, mathematical optimization, as well as experience with analog/digital design is of advantage. Join our
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well as knowledge representation and inference. In the research project DrawOn, new technologies for analyzing 2D digital drawings and reconstructing 3D building models will be developed. The goal of this project is
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master’s degree in engineering or natural sciences. - You have basic knowledge in the field of LCA and/or industrial ecology. - You have knowledge in the field of energy systems or agronomy. - You are
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background in a technical field such as computer science, bioinformatics, mathematics, computational life sciences or related. Profound knowledge in machine learning, preferably deep learning for image data. A