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Computer Science or a related field Proven ability to conduct independent research with a relevant publication record. Outstanding data analytics, mathematical, and computer modelling skills. Excellent interpersonal
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samples. Able to adapt to work with different pathogens/clinical samples of interest. Demonstrate excellent quantitative, analytical, and organisational skills. Possess interpersonal communication skills
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Enthusiasm in the Deep learning and AV related research Proficient in paper writing and presentation Possess strong analytical and critical thinking skills Able to build and maintain strong working
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and Data Analytics in Air Traffic Management Systems. The selected candidate will work on developing innovative optimization and Machine Learning models to address key challenges in the future airspace
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techniques (e.g., qPCR, Western blotting, immunohistochemistry) is preferred. Demonstrated ability to work independently and collaboratively in a team-based research environment. Strong analytical
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-state physics, electrochemistry, Materials Science, or similar fields Strong analytical and conceptual abilities Ability to work independently or in a team in the realization of the R&D work Ability to
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, Materials Science, or a related discipline. Expertise in organic synthesis, peptide engineering, and nanomaterial design. Proficient in analytical techniques such as UV-Vis, FL, NMR, MS, DLS, TEM/SEM. Hands
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to validate hypotheses and explore novel material behaviors. Leverage data analytics platforms, coding skills, and simulation environments to enhance process understanding and improve outcomes. Contribute
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, purification, and related workflows. Strong analytical and problem-solving abilities, with meticulous attention to detail. Ability to work both independently and as part of a multidisciplinary team. Excellent
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/ Associate should have Epidemiological and Biostatistical Analytical capabilities and manuscript writing capabilities. He/she will be a key member of the team for data analyses, interpretation and writing-up