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Field
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verification. Also, you will design and implement prototypes (C++/Python/MATLAB) and contribute to open-source tooling where appropriate. You will support teaching at Technical University of Munich. Salary and
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hydrological modeling at catchment scale, and familiarity with modeling tools. Proficient in statistical analysis and programming languages such as Python, R, or MATLAB. Strong written and verbal communication
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the use of bioinformatics tools for metagenomic and transcriptomic data analysis (e.g., QIIME, DADA2, R, Python). Demonstrated ability to independently design and conduct experiments, analyze data, and
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skills and experience including the merging and aggregation of various data sources. Proficiency with relevant analysis tools (e.g., R, Python, MATLAB). Strong communication and collaborative skills and a
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areas: + Quantum computing and quantum algorithms + Solid-state physics, computational materials science, or quantum chemistry + Battery materials modeling Excellent programming skills (e.g., Python) and
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skills, with the ability to bridge theory and experimental data Experience with computational tools such as MATLAB, Python, and multiphysics simulation platforms (e.g., COMSOL, Ansys) Motivation to engage
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sequencing; Has experience with programming, data visualization and data handling in Python, R or related languages; Is proficient in Unix/Linux-based command line and cluster environments; Has
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large-scale genomic and clinical datasets, and in developing reproducible, scalable analytical workflows and interactive visualisation tools (using scripting languages such as R/Python) within high
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(e.g. R or Python), statistics, machine learning, and data science. A good publication record with respect to your career stage and research interests in climate impacts in mountain regions complete your
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Experience1 - 4 Research FieldGeosciencesYears of Research Experience1 - 4 Additional Information Eligibility criteria Python programming to automate processing chain Handling optical, radar, and lidar imagery