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Field
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(Python, MATLAB) for behavioral data analysis Preferred Qualifications: Experience with rodent behavior assays Familiarity with tools like DeepLabCut, MoSeq, or Kinect-based systems Interest
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behavioral neuroscience, development, or ASD Programming experience (Python, MATLAB) for behavioral data analysis Preferred Qualifications: Experience with rodent behavior assays Familiarity
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(agent-based modeling, differential equations) or machine learning tools. Good programming skills in one of the following programming languages: R, Python, MATLAB, or similar; Excellent English language
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to participate in international meetings Experience with conducting and documenting scientific experiments as well as processing and analyzing data (Python, Origin, Excel) Good communication in English, knowledge
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and image analysis. Programming skills in Python and ImageJ are advantageous. Interest in interdisciplinary and international teamwork. Excellent written and spoken English. Our Offer: We work on the
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, Computational Biology, Systems Biology, or a related field Strong programming skills in R and/or Python Experience with single-cell or multi-omics data analysis Interest in cancer biology, particularly leukemia
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languages such as Python for data analysis and simulations. Experience with optical systems, astronomical observations, or satellite tracking would be advantageous, although not compulsory. Strong analytical
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that provides a sufficient degree of background in computer science, artificial intelligence, mathematics and/or data science. Fluency in English and Python are required. Experience working with real-world
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with coding, ideally in Python or MATLAB Funding support This studentship is open to Home students only. It is jointly supported by the Faculty of Engineering and industrial partners which is expected
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or Abaqus (or willingness to learn) General knowledge of structural analysis and material behaviour, especially failure mechanisms Some experience with coding, ideally in Python or MATLAB Funding support This