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QGG - Aarhus University seeks a postdoc researcher in sustainable breeding: developing simulation...
or Population Genetics. Proficient in R and Python programming is essential. Familiar with breeding programs and breeding goals. A collaborative colleague and a good communicator. Experience in collaborating with
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refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role Develop innovative methods and data-driven AI tools for highly dynamic SatCom systems Implement and open-source proof-of-concept
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: www.uni.lu/snt-en/research-groups/finatrax/ Your role The candidate will work on the the Data-Driven Energy Transition NCER Project (D2ET). This project aims to accelerate the energy transition in Luxembourg
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record in peer-reviewed international journals Experience with remote sensing, LiDAR, and GIS applications Programming skills in Python Background in LiDAR point-cloud analysis and vegetation structure
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
pests, or high-throughput phenotyping Solid background in mathematics and scientific programming (R, Python, etc.) along with effective logical reasoning skills Experience with high-performance computing
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econometric methods for analysing large datasets. Are proficient in coding and data management using tools such as Stata, R, or Python. Have a strong interest in the research area and have a strong independent
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-en/research-groups/sigcom/ . Your role The successful candidate will join the SIGCOM Research Group and contribute to the activities related to resilient wireless network, coping with possible
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Comprehensive skills in data analysis and bioinformatics Proficiency in programming with Python Proficiency in version control (Git, GitHub) Meriting criteria are: Experience in mechanistic and ODE-based
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QGG Aarhus University seeks two Postdoctoral researchers in Quantitative Genetics of sustainable ...
quantitative genetics or animal breeding Has published high-quality research in peer-reviewed journals Experience with scripting languages (e.g., R, Python, SAS) and/or genetic software (e.g., DMU, ASReml) Can
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. For more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/ In the context of Prof. Fridgen's PayPal-FNR PEARL Research Grant and the FutureFinTech National Centre