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About PhD@Tec21 : The Marie Skłodowska-Curie Cofund doctoral programme PhD@Tec21 is dedicated to training the next generation of experts in mechanical and chemical engineering. The programme targets
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The Computational Protein Engineering (CPE) group at The Novo Nordisk Foundation Centre for Biosustainability (DTU Biosustain) is developing novel methods to engineer proteins more effectively using
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of additively manufactured Mg alloys for biodegradable implant applications. Host: Helmholtz-Zentrum Hereon
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PhD student (m/f/d) in the field of chemistry, chemical engineering, materials science or comparable
To strengthen our team in the department “Analytical Chemistry; Reference Materials” in Berlin-Adlershof, starting as soon as possible, we are looking for a PhD student (m/f/d) in the field
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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The Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark (SDU), Campus Odense, invites applications for one PhD candidate position in Computer Science, fully
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for motivated individuals skilled in computer science/computational biology/bioinformatics with the desire to make a difference for people suffering from mental health problems. A Masters Degree in (Bio
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engineering Knowledge of machine learning (deep learning) Basic knowledge of computer science or software development, e.g., using Java, Python, or C++ Good communication and information skills, goal-oriented
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Job ID: 11548 Fixed term of 3 years | Part-time with 65 % | Salary according to TV-L | IfGH-Cellular Electrophysiology and Molecular Biology We are UKM. We have a clear social mission and, with our
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. Skills and personal qualities Qualifications: The successful candidate should hold a Master’s degree in bioinformatics, computational biology, computer science, engineering, or a related quantitative field