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Department: Faculty of Medicine and Health Sciences Regime Full-time Are you passionate about Biostatistics and Data Science to support real-world problems? Do you want to contribute to early
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catalysts. Particular attention will be given to investigating structure-function relationships during different stages of the CO₂-to-alcohol cascade process. TEM data will help clarify the spatial
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Collaborating Centre of the World Health Organization. Your profile: You have a master degree in biostatistics or a related domain such as data science, mathematics or applied mathematics. You can demonstrate
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). This neuronal population contains the most polarized cells in our body and their sophisticated morphology and function render them highly susceptible to degeneration. The preliminary data generated in-house as
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, Belgium ) and Dr. An-Sofie Schoonjans (Pediatric Neurology Department UZA) are seeking a highly motivated PhD student to work on clinical data analyses and multi-omics approaches in the rare genetic
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the selection procedure. If you have any questions about the online application form, please check the frequently asked questions or send an email to jobs@uantwerpen.be . For more information, you are welcome
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application form. Be sure to include the following attachments: a motivation letter your academic CV the contact information of 3 referees. The selection committee reviews all applications as soon as possible
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appointment) in digital text analysis, digital humanities, linguistics and literature, applied linguistics, communication sciences, computer sciences or similar. You have a background and/or strong interest in
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of the patient samples, and the UAntwerpen Centre for Proteomics, where you will analyse lung biopsies using mass spectrometry imaging. The imaging data, together with all other relevant clinical and omics data
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mathematics. You have experience working with data on inequality or poverty and have experience with survey experiments. You are proficient in spoken and written English. What we offer We offer a doctoral