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Field
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modelling. Experience in analysing ecological monitoring data (e.g. telemetry, diet and population datasets). Advanced programming skills (R, Python, or equivalent) and reproducible analytical workflows (e.g
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) Experience with data analysis software (e.g., Python, MATLAB, Origin) Ability to work collaboratively in multidisciplinary research teams About the employment The employment is a temporary position of 2 years
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application in the life sciences, preferably in microbial genomics. Strong programming skills in Python or an equivalent language. Strong communication skills and experience in working in a team. The following
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-seq, ATAC-seq, spatial transcriptomics, or related approaches strong programming skills in R and/or Python experience with reproducible data analysis, workflow development, and code-based project
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degree, obtained within the last three years before the application deadline. Programming skills in Python and data analysis. Track record of scientific publications in international peer-reviewed journals
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degree, obtained within the last three years before the application deadline. Programming skills in Python and data analysis. Track record of scientific publications in international peer-reviewed journals
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to be a merit for the position are both theoretical and practical knowledge of Quantum optimisation, and Quantum Machine Learning and extensive programming experience, e.g., Qiskit, Python, TorchQuantum
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with proven advanced experimental capabilities and excellent programming skills (e.g. C++, ROS, Matlab, Python etc.). You should have a strong vision to evaluate and demonstrate the research findings in
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Architectures Demonstrated ability and interest in working across methodological boundaries Solid programming skills (e.g. Python) and experience with research-oriented software development Evidence of research
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image reconstruction, inverse problems, signal processing, computational imaging, or cryo-EM data analysis is required. Strong programming skills (e.g., Python, C/C++, or similar) and experience with