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doctoral studies / focus on solid state physics or chemical physics Professional skills: Development of ab initio methods Methodological skills: Python, Fortran, C, C++ High performance computing Good
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Environmental Engineering or a related field High proficiency in programming languages (e.g., Python or MATLAB) A strong record of authorship in peer-reviewed academic journals Excellent interpersonal and
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this position pay above the required minimum?: Yes. The expected base pay range for this position is listed in Pay Range field. The pay offered to the selected candidate will be determined based on factors
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processing, multimodal signals processing and fusion; Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) with several years of practice; First-author peer-reviewed published
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programming language (preferable: MATLAB or Python) Experience with one or several of the listed human neuroscience techniques. Ability to work and learn independently and perform research with a high level of
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with experience in One Health or climate-health research. Proficiency in systematic reviews, survey methods, and/or causal inference is essential, along with programming skills (e.g., in R or Python
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. Any additional documents to support the application 8. Ethical questionnaire (HE ethics checklist + research ethics commitment) 9. A candidate can apply for up to 3 positions. A list with order of
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, or computational biology Proficiency in Python and experience working in Linux-based HPC environments or cloud computing platforms Proven experience with deep learning frameworks such as PyTorch or TensorFlow, and
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, or a related discipline (including Earth, atmospheric, or climate science) by the time of appointment. Applicants should submit a cover letter, CV, list of publications, and a statement describing
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interactions If you meet the required education and experience but don't tick every technical skill listed, we still encourage you to apply! We value motivation, and willingness to learn, and a passion for data