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SD- 26053 PHD IN ULTRA-FAST MACHINE-LEARNING INTERATOMIC POTENTIALS FOR NANOINDENTATION OF TIC MA...
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 more than 50
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didactic sessions as appropriate. Research or scholarship responsibilities may include establishing and maintaining an independent, extramurally funded research program. The faculty search is in the field
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responsibilities may include establishing and maintaining an independent, extramurally funded research program. The faculty search is in the field of Artificial Intelligence (AI) in Medicine. We are particularly
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Are you an early career researcher with a promising research idea? Apply now for the Young lnvestigator Group Preparation Program (YIG Prep Pro), a postdoctoral fellowship and support program at KIT
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applicant will be expected to develop an independent, externally funded research program in the general area of virology and contribute to undergraduate, graduate and medical school educational mission
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As part of its commitment to expand its world-recognized high intensity laser science and technology program with applications that include laser-matter interactions, the Department of Electrical
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life assurance scheme Employee Assistance Programme Interest free season ticket loans Additional maternity pay for 6 months at full salary Shared parental leave including up to 6 weeks paid at full
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research programme and become creative leaders in the field of quantitative plant developmental biology. We welcome early-career scientists with experience ranging from experimental to theoretical research
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for the treatment of infectious diseases. As part of the structured doctoral program International Leibniz Research School ILRS 2.0, we invite talented candidates to apply for 9 Doctoral Researcher (m/f/div
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Cell Biol 160, 223–251 (2023). https://doi.org/10.1007/s00418-023-02209-1 Virshup, I., Bredikhin, D., Heumos, L. et al. The scverse project provides a computational ecosystem for single-cell omics data