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discipline. Experience and deep understanding of X-ray scattering experiments Experience with development of analysis code for experimental data in Python or similar language Strong interest in learning new
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Python or a similar system. A4 Knowledge of integrating Design-Make-Test-Analyze (DMTA) cycles for drug discovery with automated chemical synthesis systems. A5 Knowledge of automated solid phase synthesis
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Navigation. Strong research background in path planning, motion planning, and multi-robots coordination in complex environments. Proficiency in Python and C++, with extensive experience in ROS/ROS2 for robotic
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) Proficiency with tools such as Pix4D, QGIS/ArcGIS, and R or Python Strong writing skills and a track record of peer-reviewed publication Excellent oral and written communication skills in English Interest
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, or healthcare applications is highly desirable. Proficient in Python and ML frameworks such as PyTorch or TensorFlow. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal
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community. Required Skills and Qualifications: Minimum PhD in computer science/ engineering or related fields. Proficiency in Python is a must. Experience with other programming languages such as Java, C/C
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fields. Strong background in medical image analysis and signal processing. Proficiency in programming, particularly in Python. Demonstrated ability to publish in peer-reviewed journals. Motivated, self
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the master's degree has been awarded. The candidate must have good knowledge in the topic of Cryosheric Processes. Proficiency in scientific coding and data analysis programming languages, such as Python
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the master's degree has been awarded. The candidate must have good knowledge in the topic of Cryosheric Processes. Proficiency in scientific coding and data analysis programming languages, such as Python
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. Proficiency in relevant programming languages (e.g., Python, MATLAB, R) is a requirement. Familiarity with downscaling and bias correction of climate data (e.g., from CMIP/PMIP) is an advantage. Experience with