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SD- 26053 PHD IN ULTRA-FAST MACHINE-LEARNING INTERATOMIC POTENTIALS FOR NANOINDENTATION OF TIC MA...
potentials • Good programming skills in Python • A friendly, motivated, positive, hands-on, initiative-taking, collaborative attitude and demeanour • Fluency in English Any of the following will be a plus
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REQUIREMENTS: Master’s degree in Physics, Biomedical Imaging, or a related field Strong interest in magnetic resonance, biomedical imaging and biophysical modelling Programming skills (C++, Matlab, Python
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behavioral neuroscience or signal processing (especially of bioacoustics data) Programming experience (e.g. Python, R, Matlab, etc.) Strong communication and collaborative skills and proficiency in spoken and
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organic electronics. Moreover, the network will provide Doctoral candidates with exposure to academic and commercial working environments through a balanced secondment plan and access to a complete training
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one of 18 structured Ph.D. programs that provide a defined academic framework while allowing you to develop your own research focus. Applications are submitted for specific projects, and you should meet
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competitive salary and will follow the PhD study program at the Faculty of Science . Candidate Profile An ideal candidate has a background in/or experience with one or more of the following topics: Data Mining
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curiosity, innovation and entrepreneurship in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international work environment with
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Program PhoQS FUTURE in Fall 2026: Up to 10 Research Assistants (PhD Positions) (f/m/d) (Salary level according to 13 TV-L) with 75%–100% of the regular working hours (depending on the project and research
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set by the DKFZ PhD Program Strong background in molecular and cellular biology techniques, including high-dimensional flow cytometry, gene expression analysis, cell culture (2D and 3D), and
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PhD student (m/f/d) in the field of chemistry, chemical engineering, materials science or comparable
command of written and spoken English Basic programming skills and basic knowledge in the fields of machine learning and material simulations (i.e., quantum chemistry, density-functional theory, machine