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(physical chemistry), materials science, or chemical/materials engineering, with a strong passion for experimental physics and a background in soft matter (chemical) physics. Proficiency in programming
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presentations, and potential valorization or IP development. Job requirements A PhD in data science, applied physics, chemistry, materials science, bioengineering, or a related field, with a strong focus on data
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for months, years, or even millennia. Our lab aims to resolve the molecular mechanisms behind this process, focusing on how promiscuous enzymes (un)intentionally transform cellular metabolites into degradation
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interest in neurobiology and/or evolutionary biology, with a strong background in bioinformatics. PhD in Bioinformatics, Engineering, Computer Science, Physics, Bio-engineering, or Life Sciences
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, Machine Learning, Physics, Mathematics, Engineering, or equivalent A solid publication record with research publication(s) in peer-reviewed international journals Good programming skills (ideally in Python
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, Machine Learning, Physics, Mathematics, Engineering, or equivalent A solid publication record with research publication(s) in peer-reviewed international journals Good programming skills (ideally in Python
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, VUB and INBO. Profile We are looking for a highly-motivated candidate with a MSc degree in Biology, Ecology, Bio-Engineering, Environmental Engineering, Geology, Physical Geography, Earth Sciences
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://www.imec-int.com/en/home ) (prof. C. Fleischmann). Profile You hold a PhD in computer science, physics, mathematics or engineering (or you will have obtained it by the time you start work). You have
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Biology, Physics, Mechanical Engineering, or equivalent (or you will have obtained it by the time you start work). You have a strong affinity for research on functional morphology. Your research qualities
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of the European Union or a bilateral agreement in Materials Science and Engineering/Physics or Electrical Engineering. In exceptional circumstances and based on detailed scientific justification, researchers who do not