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Field
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systems using tools such as MATLAB, Python, COMSOL Multiphysics, Lumerical, or equivalent platforms. Contribute to experimental laboratory work in ultrafast and nonlinear optics. Develop and optimise
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focus on quantum impurity models (particularly Kondo model). • Strong computational skills (with Python or Julia or C++ or Matlab or equivalent) and using numerical techniques such as exact
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programming skills and experience in e.g. C/C++, FORTRAN, Python, Julia, or MATLAB A team-oriented, conscientious, and organized work approach Enthusiasm for interdisciplinary projects Optional: experience with
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programming or scripting skills (e.g., Python, MATLAB, Bash) are a plus Prior experience in amyloid biology, protein aggregation, or disease-related structural research are an advantage. Ability
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, problem solver, and programming skills for Python and Matlab are preferred Experience in similar environments with industrial collaborations or public-funded research projects is highly desirable Fluency in
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with proven advanced experimental capabilities and excellent programming skills (e.g. C++, ROS, Matlab, Python etc.). You should have a strong vision to evaluate and demonstrate the research findings in
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) Proficiency in scientific programming using Python, with experience in Matlab and/or R considered an asset. Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX. Experience in
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and data processing skills: experience of programming in one or more languages (e.g. R, C/C++, Python, Matlab). Practical experience of algorithm development and implementation of machine learning
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Advanced programming skills in Python, with deep experience in libraries such as PyTorch, Pyomo, and the broader scientific stack (Xarray, Pandas). Knowledge of MATLAB is desired but not a requirement A
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of forest traits and uncertainties. Where to apply Website https://app.skeeled.com/s/J33VQevN Requirements Research FieldEnvironmental science » Earth scienceEducation LevelPhD or equivalent Skills