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researcher who is passionate about developing automated systems for microbiological research. The ideal candidate has: An MSc degree in bioengineering, biotechnology, microbiology, computer science, mechanical
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the microbiome as a key target for future therapeutic and preventative measures. MICRO-PATH is a competitive, interdisciplinary PhD programme supported by the PRIDE scheme of the Luxembourg National Research Fund
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Profile You should have obtained (or be about to obtain) a Master’s degree (or equivalent) in Physics, Physical Chemistry, Material Science, or a closely related subject with excellent results. You should
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neuroscience, educational psychology, computer science, or a related field The ideal applicant will have demonstrated exceptional research potential through their thesis work and share our passion for advancing
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The Mentor Doctoral program is an EU-funded Marie Skłodowska-Curie Action (MSCA) to foster and train Doctoral Candidates (DC) on the metabolic control of cell growth by mTOR in pathophysiology
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qualification (usually PhD). Tasks: This research project funded by the German Science Foundation within the Priority Programme "Productive Biofilm Systems" aims at, in close collaboration with a partner group at
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Foundation (www.synthera.eu/ ). We are seeking an excellent and enthusiastic Ph.D. student with a strong interest in computational microbiome research. The specific focus of the Ph.D. project will be tailored
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are looking for: A motivated candidate with a strong academic track record and a degree in Materials engineering, Physics engineering, Materials chemistry, or a related field in Science and Engineering. A
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close collaboration within the ChemBion training group. We will provide a structured 3-year cutting-edge Ph.D. student training program in and beyond the fields mentioned above. REQUIREMENTS: We are
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Background Cardiovascular disease (CVD) remains the leading cause of death worldwide and exerts a disproportionate burden on individuals living with type 1 diabetes (T1D). Despite advances in care, traditional risk prediction models like the Steno Type 1 Risk Engine fail to account for the...