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experience in machine learning methods, tools, and platforms. Proficiency in Python, with demonstrated software development experience. Hands-on experience in MLOps, including the design and deployment
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Python, for processing and interpreting complex proteomics data Familiarity with proteomics software for data analysis, visualization, and management Experience with biological samples (e.g., FFPE, plasma
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synthesis, acetate production) using software such as Aspen Plus. Integrate these units into full process chains and simulate performance under varying operating conditions and CO2 feedstock scenarios (e.g
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of understanding their regulation by phosphorylation. You will be in charge of writing and testing code, developing, deploying and maintaining software. Your work will benefit from the experimental data generated by
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, the researcher will be developing control electronics based on Arduino or Raspberry Pi and write the corresponding software, ensuring significant automation and simple user interfaces such that other researchers
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Systems Engineering, Computer Science, Software Engineering, Mathematics, or a related field Experience with interdisciplinary, multidisciplinary, or transdisciplinary research projects and related research
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Postdoc in "Navigating uncertainty: Planning marine protected areas in a changing Southern Ocean"...
mapping Experience in spatial prioritisation software (Marxan, Prioritizr) and geospatial tools (QGIS, ArcGIS Pro) is a plus Highly motivated and eager to work in an interdisciplinary marine research
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. This will include implementing and applying software analysis pipelines and interpreting disease-related data together with experimental and clinical collaborators. Bioinformatics analyses guided by prior
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metal bearing mudstones and carbonates Core logging and sample selection Place results in a 3D context e.g. using modelling software such as Leapfrog Develop a paragenesis from all stage of diagenesis
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Postdoc "Interferometric SAR Data Processing and Analysis for Implementation in the 3D-ABC Founda...
efficiently the processing results between processing facilities for FM training to the AI and HPC teams in the 3D-ABC consortium Develop the required software data management and processing interfaces Analyse