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are looking for: A motivated candidate with a strong academic track record and a degree in Materials engineering, Physics engineering, Materials chemistry, or a related field in Science and Engineering. A
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of microbiology and laboratory automation. We are looking for a highly motivated PhD candidate with a strong engineering mindset and a keen interest in AI, automation and microbiology. Prior experience in
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control engineering, optimization algorithms Control of drones and flight experiments as well as knowledge in AI / Machine Learning would be an asset Outstanding academic records Teamworking experience, e.g
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(bio-)chemistry, physics, and engineering expertise to study molecules and cells, taking advantage of optical and single-molecule imaging, molecular probes, molecular biology, and 'large' data analysis
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on cancer metastasis and novel metabolic pathways. We exploit mouse models, genetic engineering, metabolomics and single cell & spatial multi-omics analysis to gain groundbreaking insights into metabolism as
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of the program For further information, please contact Dr. Mert Bayraktar Your profile Qualification: The candidate should possess a MSc. Degree or equivalent in Engineering, Computer Science, or related fields
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will have a strong background in socio-technical threats and attacks, deception and social engineering, and security and cybersecurity metrics analysis (qualitative and quantitative). With a high
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profile Qualification: The candidate should possess a MSc. Degree or equivalent in Engineering, Physics, or related fields. Experience: The ideal candidate should have some knowledge and experience in a
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- Doctoral School of Natural Sciences and (Bioscience) Engineering (NSE)