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Research Assistant (postdoc) (m/f/d) (E 13 TV-G-U) available for three years starting as soon as possible. The salary grade is based on the job characteristics of the collective agreement applicable
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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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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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. 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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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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, 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