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Grenoble Alpes (UGA) and the ESRF enabling the partners to combine their complementary expertise to deliver pioneering, high-impact research on these novel functional materials. The PhD student will benefit
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-intensive PhD training programme, supported by the PRIDE funding scheme of the Luxembourg National Research Fund (FNR) and the programme's partner institutions: University of Luxembourg, Luxembourg Institute
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PhD grant proposal - Carcinogenesis study tools for bioTechnologies and medicine of the future H/F PhD grant proposal : HYMPACT: Modular HYdrogels mimicking the healthy and pathological PAncreatic
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: Contract Type: Fixed Term Contract 36 Month Work Hours: Full Time 40.0 Hours per Week Planned start date: October 2025 Location: Campus Belval Internal Title: Doctoral Researcher Job Reference: UOL07501
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implement innovative solutions to enable seamless operation in connected and autonomous mobility use cases. - Validate research outcomes through a combination of high-fidelity simulations and
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to work in an interdisciplinary and translational research environment. Fluency in English. Knowledge of French or another EU language is an advantage. Training & Environment This PhD position is hosted
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live in. Your role We are seeking a highly motivated and talented Doctoral Candidate (PhD Student) to join our research team focused on melanoma drug resistance. The successful candidate will engage in
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exciting opportunities for machine learning to address outstanding biological questions. The PhD student to be recruited will be working on the development of machine learning methods for single-cell data
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, traditional risk prediction models like the Steno Type 1 Risk Engine fail to account for the immunological dysregulation inherent in T1D. Project Objective The PhD candidate will primarily focus on the clinical
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and very good knowledge in quantitative and qualitative research methods Good knowledge of statistical software (e.g. SPSS or STATA or R or JASP) Strong commitment and the ability to work in a team