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proficiency in R, Python, and ArcGIS Knowledge of forest and peatland biodiversity Good command of written and spoken English The ideal candidate is proactive, committed, and efficient. You should be in
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Master’s degree is preferred; however, the minimum requirement is a Bachelor’s degree in physics, computer science, or a related discipline. The role requires strong programming skills in Python, competency
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fragments (e.g., JavaScript, Python, C#) to augment platform logic and address limitations Preferred Educational Qualifications An advanced degree from an accredited institution of higher education in a
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for research. What we are looking for MSc in computer science, statistics, or a related quantitative field Proficiency in Python and experience with PyTorch, TensorFlow, or JAX Demonstrated ability to complete
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sources. Implement predictive, rule-based, or optimisation-based control strategies using MATLAB/Simulink, Python, or embedded software tools. Integrate controller logic with the microgrid model and
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response.' Lab website: https://ki.se/en/neuro/lopez-laboratory-neurobiology-of-stress-and-treatment-response Your mission We are looking for highly motivated candidates to join our team and work with
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post-processing and analytics skills using Matlab, python or similar programming language Have a strong experience of using design software and fabrication tools, such as CNC Have strong project
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molecular dynamics simulations, applicable to materials science, biomolecules, or a related field. Programming experience (e.g., Python), with a strong background in developing and applying computational
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sources. Specifically, you will be working in Python: • Characterization of the technical aspects of energy storage from marine renewable energy sources. • Characterization of energy storage potential and
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, psychometrics – especially in dealing with violations of measurement invariance, as well as extensive computer programming experience in R and Python. Given that the project lies at the intersection of psychology