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Field
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proof-of-concept software tools Machine learning is a plus Strong analytical and programming skills are required (Python, Matlab, and C/C++). Prior proven experience in data-driven innovation projects is
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training in field work techniques, ecological modelling and GIS will be provided by an interdisciplinary supervisor team. Funding duration – 4 years Funding Comment This scholarship covers the full cost
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tools and programming languages such as R or Python; an interest in working together with people from the food industry; you are an ambitious and highly motivated scientist; you are a creative researcher
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, particularly GBS, continuous-variable QC Experience with numerical simulation, statistical estimation, or probabilistic modeling. Programming proficiency (Python, Matlab or C++), especially for numerical
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 24 days ago
with at least a grade of 'good'. Experience in programming in C, C++, Python, or IDL (or any equivalent) is desirable, as well as experience in the analysis of imaging radio data. The full-time PhD
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related field Documented metagenomics experience Experience with writing and running data analysis scripts in a command-line interface Solid programming experience in Python Experience with scripting and
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., health and climate/environmental data) and could include a range of data science methods, such as utilising geographical information systems (GIS), statistical analysis, machine learning, deep learning
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analysis using AI. Solid knowledge of signal processing and machine learning. Proficiency in programming (e.g., MATLAB, Python, C/C++). Strong written and verbal communication skills in English. The
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with Python, PyTorch, Hugging face Transformers library and works efficiently with them. Conditions of employment We offer in accordance with the collective bargaining agreement for Dutch universities: A
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and