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, components, overall system performance) Numerical methods and simulation tools (e.g., Python/Matlab, CFD modelling, optimization) Beyond technical skills, we value people who contribute to a healthy and
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., Python, Matlab, C++). A passion for engaging in cutting-edge research and innovation. Salary: Standard Italian PhD scholarship. Application Window: May 30 – June 30, 2026 Contacts: Interested candidates
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methods, Mathematical optimisation techniques, Physics-informed neural networks, Scientific programming in Python, MATLAB or equivalent, Analysis of complex multi-modal biomedical datasets Skills Essential
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computational modeling or machine learning applied to neural data; Proficiency in programming (e.g., Python, MATLAB, or R); Prior research experience in language, cognition, stroke, or brain network analysis is
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Science, Computational Biology, Bioinformatics, or a closely related field. Experience with computational modeling, statistical programming (Python, R, MATLAB), or machine learning. Experience working with large datasets
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-based models for biological and medical image analysis. Processing, interpreting, and presenting experimental data (using tools such as SPSS, and Python Pandas). Contributing to scientific publications
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). Reactive transport modeling (COMSOL/MATLAB/Python). Micropollutant analysis (LC-MS, GC-MS). Knowledge of wastewater treatment and effluent characterization (COD, BOD, TSS). Technical Skills: Proficiency in
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. Experience in coding (e.g., Python/R/Matlab) and experience in behavioural experimentation, statistics, or machine learning is desirable but full training will be provided. Interviews for this studentship
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ocean biogeochemical cycling, including carbon, oxygen, and nutrient cycles, through courses or research experience. Experience in scientific programming (e.g., Python, R, MATLAB, or Fortran). Experience
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skills in English Programming skills with either Matlab or Python *for students with an education earned outside of Sweden, a 4-year Bachelor’s degree is accepted. The following experience will strengthen