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, or theoretical materials science approaches. These methods should be applied to the study of molecules and solid-state materials relevant to photonics, (opto)electronics, energy conversion and storage, catalysis
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codebase used for training large generative neural network models. This role requires a strong background in machine learning, software development, and the ability to work collaboratively in a research
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the project will be the assessment of the model results with atmospheric measurements, as well the use of statistical inference methods for hypothesis testing. Finally the improved model will be used to provide
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Stage Researcher (R1) Positions PhD Positions Country Switzerland Application Deadline 1 Oct 2025 - 23:59 (Europe/Berlin) Type of Contract Temporary Job Status Full-time Hours Per Week 42 Offer Starting
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Formal eligibility criteria aim to guarantee the administrative solidity of SNIS funded projects and additionnaly ascertain that the projects contain co-funding. The following formal eligibility
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and presentations; and providing technical support and troubleshooting in T cell culture, molecular cloning, and viral production workflows. Profile PhD in bioengineering or related area. Strong
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relations. The ideal candidate will bring a strong interest in the role of data and technology in shaping environmental governance. We are looking for someone who: Holds a PhD (or will have completed one
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experience with building web applications, form builders, and automation tools (e.g. AEM, Make.com, Google Developer Console, Typeform, Inxmail, Mailchimp, Zapier, Wix Velo) Proficiency in JavaScript and
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. Profile Education & Experience A PhD in a relevant field with experience in industry is highly preferred; (outstanding younger professionals will also be considered and evaluated based on profile.) 2-5
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expected to collaborate closely with the research supervisor and the ODI team members, and assist in mentoring Master’s or Bachelor’s thesis projects. Profile We are seeking candidates with: A PhD degree in