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Physics or Mathematics Application Materials Required: Further Info: https://www.unige.ch/math/la-section/enseignants-et-chercheurs/alba-grassi 24 rue du Général-Dufour 1211 Genève 4
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degree in Computer Science, Math, Statistics or Engineering programs. Ph.D would be an asset. Knowledge of classification algorithms, vision-language models (VLM) and Hugging Face Transformers is an asset
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to applicants with a first-class or upper second-class degree (or equivalent) in any Engineering discipline, Physics or Maths. Please apply by submitting your CV, cover letter and transcript to
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: Starting October 2025, we require an enthusiastic graduate with a 1st class degree in engineering, maths or a relevant discipline, preferably at Masters level (in exceptional circumstances a 2:1 degree can
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Physics, Theoretical physics, Maths or other closely related subject (e.g. Materials Science with evidence of strong computational background and skills). To apply, please contact the supervisors; Dr Thomas
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The project also has a sub aim of protecting the heart from radiation during radiation therapy treatments for cancer patients. The project would suit someone with a strong maths, physics or
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. Experience working with liquid AFM and lipid nanoparticles is preferred. Math or programming experience preferred. Candidate should have a background in physics, engineering, or chemistry. Experience working
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inference of diffusion models and LLMs. The applicant should have a strong background in machine learning and maths.
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maths, physics, mechanical or materials engineering or a closely related discipline is essential. A Masters-level degree or publication record in any of the above fields would be advantageous. Good
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, applied maths, physics, chemistry, computer science, computational modelling, earth science or similar. Strong programming skills. Experience in making gas flux measurements Excellent project management