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Field
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. Qualifications: • Completed academic university degree (Master level) in mathematics, computer sciences, physics or a related discipline • Knowledge of programming, machine learning methods, mechanistic modelling
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Institute for Human Cognitive and Brain Sciences (MPI CBS), Leipzig, Leipzig University (LU), TU Dresden (TUD), and University College London (UCL), the IMPRS on Cognitive NeuroImaging integrates leading
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Description The International Max Planck Research School “Knowledge and Its Resources: Historical Reciprocities” (IMPRS-KIR) invites applications for 3 doctoral positions, to begin on September 1
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) • The successful candidate will have the opportunity to work towards a PhD Required qualifications: • Completed university degree (M.Sc. or comparable) in biology or a related field • Solid knowledge of molecular
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comparable degree in molecular biology, biochemistry, mathematics, bioinformatics or any related areas, awarded by October 2026; some experience with computational or biological research; knowledge in biology
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Science, Physics, Materials Engineering, Nuclear Engineering, or a related field Solid knowledge of microstructural and mechanical characterization of materials, ideally with experience in TEM/STEM and
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Engineering, Information Systems, Mathematics, or a related field. Strong knowledge of software engineering (e.g., software architecture, development processes, quality assurance). Very good programming skills
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- Teaching courses and supervising of student theses YOUR PROFILE - University master's degree in geophysics or physics, above-average, with ideally good knowledge of seismic methods and numerical simulations
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, biosciences or a related subject area sound knowledge in the fields of plant stress signaling experience in cloning and plant biology knowledge in the role of temperature signaling in biology experience in
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, microelectronics, information technology, physics or a comparable field of study (final grade good to very good) Good knowledge of digital and very good knowledge of analog semiconductor circuit technology Practical