35 coding-"https:"-"CMU-Portugal-Program---FCT"-"Inserm" "https:" "https:" "https:" "https:" "P" positions at ETH Zurich
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(SA) codes, which include assessing and validating thermodynamic data to predict the behaviour of fission products like caesium and strontium in liquid phases during accidents. Job description In
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, highlighting those most relevant to the project's research direction Portfolio – Overview with project summaries and links to external sources (e.g. websites, code repositories, datasets, and other supporting
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., participation to coding competitions, olympiads in math or computer science, etc.) and how they can benefit eDIAMOND. The strengths of your best scientific projects (e.g., thesis, report, article) and their
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and training machine and deep learning models using Keras/TensorFlow and/or PyTorch, supported by experience in statistical data analysis. You have experience with collaborative coding practices
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such as Stata, R, and/or Matlab Collecting data using web scrapers and data providers like Macrobond Coding in R or Matlab on data analysis and macroeconomic forecasting Programming surveys with Qualtrics
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; working knowledge with research data management according to the FAIR principles and corresponding software systems (e.g., openBIS); hands-on experience with best practices for code management and
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techniques or tooling, such as relevant Python or Julia libraries (PyTorch, JAX, and similar) and how to package simulation or ML codes for dissemination or deployment on distributed servers (e.g., Docker
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referees who can provide professional references (We will contact them as we review the applications). Portfolio – Overview with project summaries and links to code repositories, datasets, and other
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datasets, code, experience around tomographic measurements of battery materials and components, image processing, and multiphysics simulation. During their study, doctoral students are encouraged to pitch
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timelines, risks, and align milestones across academia and industry. Supervision & mentoring: Co-supervise MSc and PhD students; run code/design reviews; foster a collaborative, high-standards research