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                Field
 
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expected to have experience in one or multiple of these skills: Atmospheric modelling, Analysis of atmospheric satellite measurements, Programming in Fortran, and Matlab or Python on Linux systems. To Apply
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systems. Proficiency with commercial modelling software, e.g., ANYSYS Fluent, or open-source modelling platforms such as OpenFOAM or Python. How to apply Candidates should apply online, carefully answer all
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, or a related field. Proven experience in large/small language model development, fine-tuning, or LLM-based applications. Strong programming skills in Python, and familiarity with key libraries such as
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of the techniques mentioned above and/or with a Ultra-high vacuum system is a strong advantage. Knowledge of a programming language like Python to assist with data analysis is also an important advantage. A
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systems. Proficiency with commercial modelling software, e.g., ANYSYS Fluent, or open-source modelling platforms such as OpenFOAM or Python. How to apply Candidates should apply online, carefully answer all
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. Skills and Experience: A PhD completed or near completion in Economics or a related field. Strong coding skills (e.g., R, Python, Stata). Experience in designing and conducting experiments. Excellent
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commonly used in genetics and molecular epidemiology. Expertise in R, Python, bash is required. Strong communication (oral and written) and interpersonal skills, and experience working in a large research
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. Familiarity in using ABAQUS user materials (UMATs) and in programming (Python, Fortran and Matlab) would be an advantage. Excellent communication, time management, and team working skills is essential
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                Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 5 days ago
programming languages such as Python, JavaScript. Have previous research experience, particularly in the energy domain, will be highly appreciated Additional Information Benefits Monthly maintenance allowance
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and oral communication skills Proficiency in data analysis tools (e.g., R, Stata, Python, NVivo, GIS) Experience with interdisciplinary or community-based research is a plus How to apply: Interested