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Field
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. Required qualifications: PhD in a field such as physics, systems biology, applied mathematics, machine learning, or related fields. Strong programming skills (e.g. Python) and experience with modern ML
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experience and track record in using open databases and bioinformatic tools and services. Strong programming skills for developing computational tools or data workflows (Python or similar), with good software
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expertise in network resilience or survivability and in network optimization. Solid programming skills (for example in Python) and hands on experience with mathematical optimization and network modelling. A
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BECCS plant. Experience of in-situ analytical equipment for BECCS, such as Raman spectroscopy and/or FTIR. Knowledge of modelling and programing skills in Python, Aspen Plus, MATLAB, Modelica, Fusion 360
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robotic platforms Experience in programming and configuring control systems for automation and robotics, including relevant programming languages such as PLC, Python, C/C++, MATLAB, ROS, or equivalent
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R and/or Python, with experience in data integration and statistical analysis. Exposure to RNA therapeutics or functional genomics approaches is an advantage. Strong interest in interdisciplinary
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geological materials and organics; knowledge of spectroscopy and/or scanning and/or transmission electron microscopy techniques. Merits are: experience in spectral data analysis using Matlab, R or Python; a
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skills in English Experience in mathematical modelling, statistics and python programming, demonstrated through course and project work Personal competences in accordance with the requirements profile(e.g
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, landfill leachate, concentrates) and QA/QC routines (blanks, spikes, recoveries) Programming/data handling skills (e.g., Python, MATLAB, R) for data processing and modelling Experience in organic synthesis
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data with computational modeling Programming skills in Python, R, or another relevant language. Interest in machine learning, statistical modeling, structural bioinformatics, or analysis of large-scale