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, Biology, Bioengineering, or related field. Strong technical background in experimental rig design and construction. Proficiency in Python programming for data analysis and experimental control. Experience
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. Proficiency with at least one programming language (e.g., C++, Python, Matlab, etc.). Good written and oral communication skills in English. The following aspects will help you stand out: Thriving in
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, or industrial engineering. Proficiency in Python and simulation tools (e.g. AnyLogic, Arena) and optimization solvers (Gurobi, CPLEX). Solid background in decarbonization modeling, logistics, and techno-economic
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, energy systems, simulation, and/or transportation research. Technical skills: Python programming; simulation. Domain knowledge: Decarbonization modeling, life-cycle assessment, battery-electric vehicle
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. Proficiency in data analysis software (e.g., R, Stata, or Python). Interest in comparative politics and political economy, preferably in European wage regulation and climate policy. Fluency in English is
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to offer. Qualifications: Required: PhD in ecology by start date Experience in plant phenology, biogeography, and spatial and temporal modeling (Bayesian and frequentist) Expertise in R or Python, GIS, big
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and solids. Experience in scientific programming in C/C++, Python, Fortran, Mathematica or similar is required. The successful candidate will either hold a PhD in Physics or a related area, or
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or returning for additional training, updating, and/or retooling. Limited to fields for which post-degree training is necessary for career entry. Preferred Proficiency in UNIX shell, Python, or other programming
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and Python. Knowledge, Skills and Abilities: Solid understanding of common cellular and molecular mechanisms, early vertebrate development, skeletal physiology and genetics, associated structural birth
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and strong experience with the Python library JAX would be a plus. Experience writing and publishing academic papers. Please see job description for a full list of requirements. *Candidates who have not