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an experimental technique. Experience with lab planning and maintenance. Experience with data analysis using, e.g., Origin, Python or MatLab. Programming skills, e.g. proficient with Labview or Python. All
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will be given also from members of the Earth Surface Science research group that work mainly in the physical geography domain, focusing on investigating causes, mechanisms and impacts of different
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and sensor data analysis Experience in remote sensing with satellites Experience in analytics in biogeochemistry, microbial ecology, and field work in aquatic environment Experience in Python, GIS
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biogeochemistry, microbial ecology, and field work in aquatic environment Experience in Python, GIS, or equivalent tools for environmental data-analysis Familiarity with computational flow dynamics modelling
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different scenarios, including emergency power supply, energy trading, grid balancing, islanded operations, and disaster recovery. In the initial phase, the supervisors, the candidate (based
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enable better planning and utilization of mobile energy storage across different scenarios, including emergency power supply, energy trading, grid balancing, islanded operations, and disaster recovery. In
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skills in Python, MATLAB and/or C++ at a developer level. A strong publication record. All candidates and projects will have to undergo a check versus national export, sanctions and security regulations
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data analysis using, e.g., Origin, Python or MatLab. Programming skills, e.g. proficient with Labview or Python. All candidates and projects will have to undergo a check versus national export, sanctions
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microscopy, antibody-based techniques, small molecules/ligand-trap based therapies Preferred qualifications Experience with bioinformatic analysis using R and/or Python. Experience with molecular/cellular
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motivated Postdoctoral Fellow with strong expertise in RNA-seq and multi-omics data analysis. Candidates should be proficient in Python and/or R and have a solid background in Biology, Computational Biology