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., using Python). - Strong interest in research and modeling approaches. - Ability to work in a team at LSCE, IPSL, and within the AMACLIM project. - Synthesis skills (literature review, analysis of model
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-twin concepts, and programming (e.g. Python, MATLAB, LabVIEW or similar engineering software) B.4 Strong interest in metrology B.5 Experience in working with experimental setups, laboratory equipment
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of biomass conversion technologies. Experience in programming with Python. Experience in Life Cycle Assessment. Experience in techno-economic analysis. Experience in scientific writing and communication
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criteria Experience with laboratory development in power electronics would be desired. Scientific publications will be merited. Experience with programming tools (e.g., Python, Matlab, C/C++) will be merited
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Willingness to combine wet-lab experimental work and computational analysis Basic knowledge of statistics and/or programming (R, Python, or similar) Strong motivation to learn new techniques across
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, especially in quantitative subjects • Strong Python skills and experience with deep learning frameworks, preferably PyTorch • Solid foundations in machine learning, statistics, linear algebra, and model
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networks, or coupled multi-energy systems Proficient in programming, especially in Python; experience with C/C++ is an advantage Interest in scientific software development, large-scale infrastructure
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e.g. Python/R. Desired experiences: Molecular laboratory, bacteriology and/or cultivation-based experimental work. Network-based analysis of multi-omics data. Molecular lab experience A PhD student with
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is an asset. Experience with R, Python or other data analysis tools is an asset. You are enthusiastic about conducting both fundamental and translational research within a multidisciplinary team. Your
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hardware design: Verilog/SystemVerilog RTL, logic synthesis, and place-and-route Be familiar with Python programming Have a working proficiency in English. (Finnish language is not required.) The following