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, and optimizing ionization conditions. The ultimate goal is to integrate key negative ion mode features into computational workflows for enhanced proteome analysis. Refine bacterial lysis methods
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to identify requirements and validate solutions Your profile Education: MSc degree or equivalent in Computer Science or Engineering Experience: The ideal candidate should have some knowledge and/or experience
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nanostructure R25-09 Development of advanced computational materials science methods and their application to next-generation devices and advanced materials R25-10 Development of Advanced Electron Microscopy
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of teaching experience Academic Diplomas (MSc/PhD) You can learn more about the recruitment process here . Applications received after the deadline will not be considered. All interested candidates irrespective
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and entrepreneurship in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international work environment with more than 50
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tasks within the DFG project. Requirements: university degree (M.Sc. or equivalent) in chemistry, polymer chemistry, material sciences, or similar; basic understanding of physical chemistry
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experimental and computational methods to understand membrane protein transport and signalling processes. The focus is to develop novel structural biology techniques with the aim to understand membrane protein
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PhD Student (gn*) Biology, Biochemistry, Biomedicine, Experimental Medicine, Medicine Job Id: 10580 Fixed-term of three years | Part-time with 65% (25 hours/week) | Salary according to TV-L E13 | Department of Anesthesiology, Intensive Care and Pain Therapy We are UKM. We have a clear social...
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PhD Position on Systemic Change in STEM Education: Bridging Stakeholders to Create Shared Visions...
The STEM Education Research Center at the Department of Mathematics and Computer Science at the University of Southern Denmark (Campus Odense) offers a PhD scholarship on systemic change in STEM
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collaborative investigation including teams with expertise in cell biology, molecular biology, biomedical engineering, clinical medicine and computational biology. The team aim to create a novel, targeted