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skills. Experience with programming, preferably Python and R, is required. Experience with mass spectrometry data, in particular metabolomics, and geometric machine learning is a plus. In addition to above
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systems and networks is beneficial and complements your technical profile. Programming skills: You have at least scripting experience, for example in Python or comparable programming languages. Language
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systems. Experience with robotic hardware (e.g., robot arms) and proficiency in C++ and/or Python, ROS 2, and MATLAB. Solid background in control theory and/or machine learning is highly desirable
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with Robotics Excellent programmer in Java / C / Python / ROS or equivalent Excellent at using Machine Learning software, e.g. PyTorch / TensorFlow / Scikit Learn Highly knowledgeable in mathematical
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Qualifications Education: ABD status by start date. PhD by start date in a field relevant to the research being conducted. PhD after one year of employment. Technical Skills or Knowledge: Proficiency in Python
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and/or analysing data (e.g. Bash, R, Python) We offer Excellent development opportunities, extensive training and an attractive remuneration package An exciting interdisciplinary and international
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programming with multiple languages (e.g., Java, C/C++, Python) for geospatial information systems, agro-informatic applications, agricultural monitoring and modeling, Agro-AI/ML, or digital twin. Instructions
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validation on simulated and real data Skills Abstraction capabilities, strong programming skills in C/C++ and Python, collaboration skills. English is needed. REFERENCES [0] C. Bekker, S. Rothmann, M. Kloppers
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Intelligence experience skills Python (for data analysis, automation, scripting, and simulations) Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: Work
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in R and/or Python, and/or experience analyzing sequencing data in a bioinformatics context Preferred Prior work with single-cell RNA-seq (QC, normalization/integration, differential expression