123 computer-programmer-"https:"-"Inserm" "https:" "https:" "https:" "https:" "https:" "Dr" "P" PhD positions at Nature Careers
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with a track record of intense mutual collaboration Structured PhD-training programme with a wide range of and professional development opportunities A respectful and appreciative work environment within
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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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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(cover letter) Vision for teaching and research CV including employment history, list of publications indicating scientific highlights, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio
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SD-26045-RESEARCHER IN ADVANCED PLASMA-ASSISTED DEPOSITION PROCESS DEVELOPMENT FOR CATALYTIC THIN...
areas Personalized learning programme to foster our staff’s soft and technical skills Multicultural and international work environment with more than 50 nationalities represented in our workforce Diverse
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candidate will contribute to a fundamental research program exploring the chemical and physical principles of peptide ionization and fragmentation in LC-MS/MS – with particular emphasis on the analytical
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our structured training program and participate in regular scientific exchange e. g. in retreats, colloquia and in tailored workshops. Requirements Candidates should hold an outstanding Master’s
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research environment organized within a structured PhD program that enables to complete a doctoral thesis within three years. Topics: Researchers of several disciplines are collaborating in ScaDS.AI
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program in and beyond the fields mentioned above Competitive, interdisciplinary environment with a track record of intense mutual collaboration Individual training-through-research, program extends
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the network training as secondments and events are foreseen, applicants must be ready to travel Applicants must be eligible to enroll on a PhD program at TU Dresden (see https://tu-dresden.de/ing/maschinenwesen