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in the project offers the opportunity to work in an international scientific environment, attend prestigious conferences, and provides a strong platform for dynamic scientific development. Where
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/or dynamic analysis of mechanical/robotic systems •Ability to use finite element modelling and to simulate complex mechatronics •Ability to implement control and kinematics with hardware-in-the-loop
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/en/join-us/hr-strategy-hrs4r https://www.bcbl.eu/en/join-us/otm-r Training opportunities and Career development plan: Opportunity to develop professionally in a multicultural, young and dynamic
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learning, deep learning, and statistical inference Experience with frameworks such as TensorFlow, PyTorch or Keras Experience with programming languages such as Python Full command of English (English level
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research infrastructure Development of process models, process engineering approaches, and process control strategies for injection molding and extrusion Further development of inline-capable process
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researcher to independently drive research projects, collaborate across disciplines, and help foster an interactive and dynamic research community. Research in the Alexander Lab spans scales of biology as
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» Modelling tools Engineering » Control engineering Engineering » Simulation engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 23 Mar 2026 - 23:59 (Europe
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Biology Stanford Cancer Center Postdoc Appointment Term: Open-ended. Appointment Start Date: ASAP Group or Departmental Website: https://rogala.stanford.edu/ (link is external) How to Submit Application
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major scientific challenges have been identified. (i) The first concerns the dynamic optimization of LoRa transmissions, focusing on radio parameter selection and data aggregation or fragmentation
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influence the dynamics of photoexcited states, would bring considerable progress in the design of performing materials. Research studies : The goal of the project is to design, elaborate and investigate