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your application: Proven experience with data analysis and programming (e.g., GAMS, Matlab, Python or R). 7.5 credit course (or more) in sustainable energy futures Experience of other energy and
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dynamics of fluid and thermal systems. Proficiency in programming and data analysis tools, such as Python and MATLAB (or equivalent). Excellent proficiency in English, both spoken and written. Assessment
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of modelling and programming skills in e.g. Python C/C++, MATLAB and/or LabView. Basic knowledge in electronics. 3D CAD (such as Autodesk Fusion 360, OpenSCAD or similar). Experience in project management
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. Good knowledge within image analysis and machine learning. Experience in programming, for example in Matlab, Python or C++. Assessment criteria Selection for third-cycle studies is based on the student’s
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languages (Matlab, Python) and geoscience tools (e.g. ArcGIS) Competence in mathematical statistics, quantitative modeling, applied calculation methods, and machine learning approaches Solid understanding
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evaluation programs such as Python or Matlab and Labview for experimental setup control is merit. Hands-on experimental experience is valued. Consideration will also be given to good collaborative skills
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, dynamic programming , statistical signal processing, reinforcement learning, and have good programming skills in Python and MATLAB. - Ability to work independently and ability to formulate and tackle
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: Strong knowledge of building physics and HVAC system Knowledge of automatic control Programming skills (e.g., Python, R, MATLAB) Fluent English skills, both written and spoken. Contract terms and what we
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, evolutionary, and biogeographical processes Proficient in modeling dynamic systems (e.g. ODE-models or IBMs) Experience in programming, e.g. in Matlab, Python, C++, R etc. A strong interest in and experience
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Python, Matlab, and R, and good UNIX knowledge are essential skills, as well as familiarity with biological omics data analysis techniques. Admission Regulations for Doctoral Studies at Stockholm