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characterization (e.g. NMR), biofilm extracellular polymeric substances, biophysics, glycoconjugates, complex assembly, or lectins, is an advantage. Your profile Applicants should hold a PhD in glycobiology
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personal qualifications A PhD in data science, statistical genetics, quantitative genetics, bioinformatics, statistics, computer science, or closely related fields (required). Experience with large-scale
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be part of that group. Applicants should hold a PhD in a relevant research area (see below). The job can be either an Aasistant professor, Tenure track Assistant professor or Associate professor
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group currently consisting of the PI, 8 postdocs, 4 PhD students, a research technician, and a variable number of students. The project is part of the center of Excellence for Proteins in Memory (PROMEMO
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Technology consisting of more than 50 employees – faculty, technical experts, post docs, PhD students and administrative staff – with 20 different nationalities. You can read more about us on QPIT - Quantum Physics and
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. Required qualifications for the position: PhD degree in geophysics, physics, engineering, or similar. In-depth experience and proven expertise in electromagnetic forward and/or inverse modelling. Strong