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electrical design, multi-model sensor technology, and experimental analysis. Strong communication skills and a genuine interest in interdisciplinary collaboration. A critical thinker, with the ability
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peptide translocation. Beyond COMSOL finite-element numerical simulations, the focus is on experimental characterization of various analytes in various modified nanopores by ion current measurements
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environment that encourages professional growth, mentoring, and a healthy work–life balance. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses
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developers, electrical and mechanical engineers. Experience and strong understanding of machine learning algorithms, mathematical modelling, and applications of AI. Proficiency in Python, leading ML frameworks
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within a cross-functional team, including software developers, electrical and mechanical engineers. Experience and strong understanding of machine learning algorithms, mathematical modelling, and
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dynamic environment where scientists, engineers, clinicians, and industry partners collaborate to shape the future of cancer treatment technologies. Your colleagues You will join a multidisciplinary team of
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opportunity to work with scientists and engineers at the forefront of space science, and experience first-hand how ESA works with communities across the Member States to maximise the scientific return from our
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problems and wave propagation from nano to kilometre scales. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer
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Engineering Division, Systems Department, Directorate of Technology, Engineering and Quality. Within a multicultural, dynamic and multidisciplinary team, the Modelling and Simulation Excellence Section is
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Location ESOC, Darmstadt, Germany Our team and mission You will join the Ground Segment System and Cybersecurity Engineering Section in the System and Applications Engineering Division, Ground