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Biology, Data Science, or a related field. Technical Proficiency: Strong command of R. Knowledge of Python is an asset. Multi-Omics Expertise: Proven experience in the analysis and integration of diverse
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degree in Economics (Master of Science degree of advantage) ; Demonstrated experience in programming languages such as Stata, R or Python. Previous knowledge of Dynare, GIS and/or Matlab applications and
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integrating distributed energy resources, demand response, and storage, this project aims to enhance grid flexibility and increase the use of renewable energy. Where to apply Website https://app.skeeled.com/s
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, Computational Science, Physics, Engineering, or a closely related discipline Strong background in differential equations and numerical methods Solid programming skills e.g. Python, C++, Julia or similar Interest
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., ROS, Gazebo, Mujoco, IsaacSim-Gym-Lab Programming skills in C++, Python, and ROS framework We offer Multilingual and international character. Modern institution with a personal atmosphere. Staff coming
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mathematical and algorithmic background, with the ability to design and analyse novel machine-learning methodologies Excellent programming skills in Python and familiarity with modern ML tooling and reproducible
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Desirable skills: Experience with organoids or assembloids Familiarity with omics approaches such as scRNA-seq, proteomics Programming or data analysis skills such as R, Python, or similar Experience in
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research Experience in cell culture and molecular biology Programming or data analysis skills such as R, Python, or similar Desirable skills: Interest in neurodegeneration, RNA biology, or phase separation
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in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? The successful candidate is expected
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transparency. Application areas include FinTech, embedded systems (e.g., mobile), business or entertainment systems, cybersecurity, and more. For more information, you may refer to https://www.uni.lu/snt-en