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Field
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source and an infrared laser test bench. Script development in Python and C++ will be necessary to control ASIC parameters, to automate data collection and to record data for analysis (Python, ROOT). He
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sensing. are essential as well as strong computing skills, including the knowledge of UNIX/Linux, Fortran, Python, or other high-level languages. The post is full time and fixed term for 18 months
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datasets. Proficiency in R and/or Python, with demonstrated experience developing reproducible analytical workflows (e.g., version control, well-documented code). Strongly Preferred Experience developing
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workflows. 3. Programming Skills: - Proficiency in C++/or Python programming languages is essential. 4. Research Contributions: - Demonstrated publications in AI for Materials Chemistry. 5. Collaboration and
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at least two of the following languages: C, Python, Fortran, R. Good verbal and written communication skills. Preferred Qualifications Experience with developing and running high-fidelity earth system
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, deep learning Computational genomics, network modeling, spatiotemporal/functional data analysis, time-series Strong programming in R and/or Python; best practices in reproducible research Excellent
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degree in physics or related discipline completed within the last five years. Preferred Qualifications: Experience with modern programming languages, particularly Python. Demonstrated ability
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models; • Expert knowledge of programming, preferably in Python and/or Fortran. What we offer: A longer-than-average postdoctoral contract with freedom to choose your specialized research topics
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research methods and data visualization. Excellent written and verbal communication skills and the ability to work collaboratively. Desired Qualifications Additional knowledge of Stata, Python, causal
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structural imaging (tractography, voxel-based morphometry, etc.) Experience working in the area of motor control and cognition Comfortable analyzing data in Matlab, Python, or similar languages Ability to work