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, transformer-based models), including experience with their application to biomedical and biological data; Experience with machine learning frameworks and programming languages (e.g. Python) for handling large
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journals. Proven experience with large-scale genomics or functional genomics datasets. Strong programming skills in Python and/or R, with experience in version control (e.g., Git) Familiarity with machine
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in one or more languages such as R, Python, C/C++, or Perl. Experience with high-performance computing environments is an advantage. Excellent understanding of statistics and experience with complex
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, animal handling, experimental stroke models / behavioural testing, and programming skills in R or Python A strong publication record and high motivation to work at the interface of vascular biology and
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experience in processing large data sets (preferably using R or Python) Highly motivated and eager to work in an interdisciplinary marine research environment Excellent communication and teamwork skills, with
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learning - deep neural network, recurrent neural network, LSTM Optimization theory Stochastic geometry Strong programming skills in at least one of the following: MATLAB, Python, JULIA or C++. Highly
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Comprehensive skills in data analysis and bioinformatics Proficiency in programming with Python Proficiency in version control (Git, GitHub) Meriting criteria are: Experience in mechanistic and ODE-based
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studying neural circuits Familiarity with programming languages (e.g. R, Python) and an ability to work with large datasets Strong record of peer-reviewed publications Ability to independently design and
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, reproducible data handling and analysis workflows in R and/or Python; author reusable packages and pipelines Collaborate across DKFZ programs; co-supervise students; contribute to grant applications Publish in
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expertise in cell culture and mouse studies. As the work involves the analysis of spatial transcriptomic data, basic expertise in computational biology, with experience in R and/or Python will be beneficial