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Field
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-depth investigation of a class of vulnerabilities and devise static and/or dynamic approaches to detect them in the code or prevent their execution at runtime. Funding category: Autre financement privé
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note that applicants may be called to an interview on a short notice. Tentatively, interviews will be held in November. Important: Your references should send us recommendation letters no later than
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. The application deadline is September 17, 2025. Project description This project involves the use of optical metrology techniques to detect early signs of decay in fruits. Traditional methods for assessing food
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is not your native language, Chalmers offers Swedish courses to help you settle in. Find more general information about doctoral studies at Chalmers here . Application procedure The application should
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to help you settle in. Find more general information about doctoral studies at Chalmers here . Application procedure The application should be written in English and attached as PDF-files, as below. Maximum
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the “Apply” button. It is your responsibility to ensure that the application is complete as per the vacancy notice, and that the University receives it by the final application deadline. Applications must be
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transcriptomic information to discover novel protein coding regions, detect variant proteins, and identify cancer neoantigens. Our facility offers a full spectrum of MS-based applications including quantitative
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position, please contact associate professor Ida Kero, (+46) 920-49 38 59, ida.kero@ltu.se . More information about work at LTU can be found here Non-swedish applicants can find additional information about
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/Light+Dark+Matter+Experiment ). LDMX will be a fixed-target experiment in an 8 GeV electron beam extracted from the upgraded LCLC-II accelerator. Its main objective is to conclusively test models of sub
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EU-MSCA PhD position: Molecularly imprinted polymers for phosphopeptide assays of oncogenic pathways
and characterised with respect to binding affinity at both peptide and protein level and compared with traditional antibody based detection. Ultimately MIP-MS multiplex assays will be developed and