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with clinical populations or translational research settings. Strong programming skills (e.g. Python, MATLAB, R) and experience with statistical modelling or machine learning. A strong publication record
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(e.g., Python, MATLAB, or similar). Excellent analytical, communication, and teamwork skills. A collaborative mindset and the ability to work in multidisciplinary and international teams. You are
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the project’s scope – up to 1 point. c) Knowledge of MATLAB, Python, or equivalent software for the analysis and processing of experimental data – up to 5 points. The curriculum of each candidate will be
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e.g. Python or MATLAB. Knowledge or interest in experiment design, execution and evaluation. Experience with statistics and data-processing methods. Other experience relevant to the third-cycle studies
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programming such as Python, R, MATLAB, or other similar programs and experience in using simulation/optimisation models and advanced data handling techniques e.g. machine-learning techniques, statistics
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in a team and have a demonstrated record of public presentations at research conferences commensurate with a highly energetic research enterprise. Experience using MATLAB or Python scripting languages
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models or glioblastoma research Familiarity with transcriptomic methods (RNA-seq, FISH, spatial transcriptomics) Programming skills for data analysis (Python, R, or MATLAB) We offer Funding: Full position
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software (preferably R; but also Python, C++, Matlab are considered) Very good English language skills (level C1), German language skills not required Strong motivation to work in an interdisciplinary
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requirements: Experience in fluid-structure interaction, numerical modeling, dynamic analysis of offshore structures and/or processing of sensor data. Skills in scientific programming (Python, MATLAB
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science, physics, chemistry, or equivalent experience. Demonstrated experience with coding (MATLAB, Perl, Python, Jupyter, C, etc.) and quantum chemistry software (VASP, CP2K, quantum espresso, wien2k