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Field
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learning, motivation, and decision-making circuits. You will have strong quantitative and programming skills along with a track record of using computer programs to design experimental paradigms
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of computer scientists. Extent: 100% employment, distributed as 80% research and 20% departmental duties (typically teaching at the BSc or MSc level). The position is meritorious for future roles in
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. Experience with the use of large datasets. Strong skills in computer programming and computational statistics. Very good oral and written skills in English. Strong academic background documented with
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background. Demonstrated experience designing and building scientific instruments, including the integration of optical, electronic, mechanical, and computer-controlled subsystems. Hands-on expertise in one
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to run laboratories of Computer Aided Design I and II and BIM I and II in master's studies in Polish and English Knowledge of other programs and applications is welcome, e.g.: CAD, BIM, GIS for post
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techniques such as metadynamics, UFED, path sampling, milestoning methods; machine learning applications in chemistry and biophysics, good computer programming skills, and working knowledge of UNIX, phyton
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problem-solving and organizational skills Certificates/Credentials/Licenses M.D. or PhD required The doctoral students should hold a degree in Bioinformatics, Computational Biology, Immunology, or a related
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QUALIFICATIONS: • PhD in Electrical and Computer Engineering, Mechanical Engineering, Physics, or a closely related field. • Demonstrated expertise in MEMS/NEMS design and modeling, including finite element
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, electrical engineering, human-computer interaction, or other relevant fields. The applicant is required to document that the degree corresponds to the profile of the post. Grade average of B or better
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will design and model microfluidic channel networks, create computer-aided design tools for these systems, and take part in building and testing the devices. This is a hands-on position combining design