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Field
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the following: A background in experimental neuroscience, animal behavior, or cognitive psychology Experience with data analysis, programming (e.g., Python, MATLAB, R), and statistical methods
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Experienced with Python/Pytorch/Tensorflow Familiarized with Machine Learning Familiarized with Reinforcement Learning (preferable, not mandatory) What we offer Insight into exciting research projects Cutting
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in image processing and analysis, including deep learning (e.g., CNNs) experience with correlative imaging workflows and 2D/3D registration techniques strong programming skills in Python and/or C/C
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preparation Background working with plants Experience in single cell genomics protocols Programming skills (R, Unix, Python, cluster computing) We offer: Varied and responsible tasks in a dynamic international
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programming skills in Python, C++ and/or Matlab are required. Good understanding of optics simulation, lithography and cleanroom processes (coating, etching, interference lithography) beneficial. We offer a
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Introduction to existing framework (PBRT-based simulation + Python code) Analysis of 3D results from simulation and physical experiments Prototyping, implementation, and test of software (Python, C++) Set-up and
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learning • Programming skills (e.g., Python, R) • Interest in interdisciplinary research at the intersection of data analysis and learning sciences • Interest in education and learning as an
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• Proficiency in statistical or programming tools (e.g., R, Python) • Interest in education and learning as an application domain • Ability to work independently • Demonstrated academic writing
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., Python or C++) is essential Experience with machining processes or ML approaches are advantageous A high degree of motivation, initiative, independence Good language skills in German and/or English What
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applications Good analytical and (bio)statistical skills Knowledge of relevant programming languages such as Java, Python, and Perl Good knowledge of relational and document-oriented database design (e.g., MySQL