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Systems Engineering, covering fundamental concepts in mechanical engineering, computer science, and artificial intelligence. Additionally, participants explore specialized topics such as cyber-physical
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, for instance structure- and ligand-based drug design, de novo and fragment-based drug design, molecular dynamics, or Quantum Mechanics/Molecular Mechanics (QM/MM), will be instrumental in supporting
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, Artificial Intelligence, Robotics, Electrical/Mechanical Engineering, Mechatronics, or a related engineering field experience or affinity with Python and ROS experience or affinity with embedded software
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training to prepare them with the necessary skills and knowledge. It includes a series of modules on Systems Engineering, covering fundamental concepts in mechanical engineering, computer science, and
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. Qualifications The ideal candidate has a Bachelor's or Master's degree (university of applied sciences or university) in Computer Science, Artificial Intelligence, Robotics, Electrical/Mechanical Engineering
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subsequent clinical trials. Whether your expertise lies in structure- and ligand-based drug design, de novo and fragment-based drug design, molecular dynamics, or Quantum Mechanics/Molecular Mechanics, or you
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- and ligand-based drug design, de novo and fragment-based drug design, molecular dynamics, or Quantum Mechanics/Molecular Mechanics, or you are actively working on incorporating machine learning/AI
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, molecular dynamics, or Quantum Mechanics/Molecular Mechanics, or you are actively working on incorporating machine learning/AI into your computer-aided drug design approaches, we would be very interested in
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, or Quantum Mechanics/Molecular Mechanics (QM/MM), will be instrumental in supporting the group’s CADD research and will create a perfect environment where computational formulation of hypotheses and their
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range of science and engineering disciplines, from classical disciplines such as mathematics, astronomy and mechanical engineering, to interdisciplinary fields such as artificial intelligence, pharmacy