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, or related fields, as demonstrated by application materials. Excellent programming skills (e.g., Fortran, C/C++, Python, or Julia) as evidenced in application materials. Previous experience that required
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Vegetation Simulator (USFS FVS). Experience with software tools such as R, CPLEX, Optimization with Python, Remsoft (Woodstock). Excellent communication skills and ability to work collaboratively with others
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dynamics, turbulence, or related fields, as demonstrated by application materials. Excellent programming skills (e.g., Fortran, C/C++, Python, or Julia) as evidenced in application materials. Previous
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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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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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. 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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. 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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, Python, Stata, or others). • Development and quantification of spatial models. Category: postdoctoral researcher, level 2 Working hours: 37.5 hours per week Contract period: it is expected
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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