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Enthusiasm and excellent collaboration skills Passion for computational modelling Strong oral and written skills in English As a formal qualification, you must hold a PhD degree (or equivalent) in machine
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PhD degree in Computer Science, Electrical Engineering or equivalent. Research interests and a scientific track record in Edge Computing research fields, such as Embedded AI, Edge AI, TinyML, and AIoT
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intelligence within grid-connected power converters and variable-frequency motor drives with edge computing and machine learning capabilities. We offer a multidisciplinary, international, and friendly atmosphere
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of circumstances under which university scientific advice is given to private companies; A background within scientific computing, using tools such as R, Julia or Python; Knowledge of using data science in relation
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level of academic prototypes) The ability to work both independently and collaboratively within interdisciplinary teams Experience with empirical validation As a formal qualification, you must hold a PhD
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Job Description We are looking for two highly skilled and motivated scientists for our program within carbohydrate chemistry, glycobiology, and vaccine design. You will join the team working
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interaction, contact-rich manipulation, and force-aware behaviors Integrate robotic manipulators with mobile bases, perception systems, and onboard sensors Program and deploy robotic systems for experimental
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contributing to computational model development The position is primarily computational and AI-driven, with close interdisciplinary collaboration. Qualifications We are looking for a candidate who: Holds a PhD
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Familiarity with computational drug discovery or molecular modeling Experience with MLOps, reproducibility pipelines, or scalable AI systems As a formal qualification, you must hold a PhD degree (or equivalent