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-binding modeling of materials, as evidenced in application materials.. 2. Previous work experience that required Python programming skills, as evidenced in application materials. 3. Previous experience
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science environment. ● Proficiency in coding and advanced data analysis using languages such as R or Python. ● Experience working with databases using SQL, cleaning and transforming data. ● Deep
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. Proficiency in scientific programming languages (e.g., Python, R, or MATLAB) for data analysis and visualization. A record of research productivity appropriate to the career stage, including publications in
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the molecular mechanism for magneto-sensing. In their recently funded HFSP project, our partners M. Kosloff (U Tel-Aviv, Isreal) and I. Schapiro (U Dortmund, Germany) make the hypothesis that opsin
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. Applicants should hold a PhD degree in Earth sciences, atmospheric sciences, physics, or similar fields, with: (i) a background in dust processes and lifecycle; (ii) experience in computer programing (Python
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Development – 80% ● Develop a control system for a robot with multiple degrees of freedom. ● Coding software routines for robotic exoskeleton using Python and/or C++. ● Debugging and embedding software
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desired. • An excellent track record, as evidenced by first-author publications and conference presentations. • Knowledge of programming languages, such as MATLAB or Python, and statistical software
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https://www.academictransfer.com/en/jobs/354745/postdoc-position-cmt-patients-u… Requirements Specific Requirements You have or are about to obtain a PhD in psycholinguistics, cognitive neuroscience, or a
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, or a related technical field. ● Strong programming skills in Python, Java, etc. ● Expertise in machine learning, neural networks, and deep learning ● Excellent writing and communication skills ● Highly
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the first of its kind. EarthBank functionalities are continuing to expand beyond its current range of data types, which includes relational data models for major, minor and trace element geochemistry, U-Th-Pb