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have experience of conducting bioinformatic analyses for DNA-based data (e.g. shell scripting or python), although this is not essential. There will be exciting opportunities to work with external
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/WRF-Chem, STILT) and in analyzing atmospheric observations (in situ, aircraft, or remotely sensed). Proficient programming skills (e.g., Python, R) Preferred Job Qualifications Experience in analyzing
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methods (FEM/FVM) and scientific computing Proficiency in Julia, C++, or Python and experience with HPC environments Interest in geophysical applications, fracture modeling, or multiphysics simulations
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single, comprehensive model Independent, solution-oriented working style and interest in experimental research Strong programming skills, particularly in Python Additional Information Benefits We offer Our
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Required Qualifications* PhD degree in bioinformatics Minimum 1 year of relevant experience Hands-on experience with R and/or Python and performing independent computational modeling. Ability to maintain
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Minimum 1 year of relevant experience Hands-on experience with R and/or Python and performing independent computational modeling. Ability to maintain data storage and usage of high-performance computing
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gdsfactory. Knowledgeable in MATLAB and Python is necessary. Knowledgeable in Ansys Lumerical FDTD, MODE, INTERCONNECT, CML COMPILER, MULTIPHYSICS We regret that only shortlisted candidates will be notified
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, Python, or Mplus. Global collaboration: Coordinating expert meetings and maintaining partnerships with international collaborators, governments, and academic institutions. Research leadership: Developing
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proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with supervised
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management and programming languages such as R and Python. Level B Essential Criteria: A PhD in entomology or a related discipline, with at least 3 years of postdoctoral experience. A strong track record in