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Field
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languages (e.g., Julia, Matlab, C#, C++) Familiarity with the applications and theory of environmental genomics Qualifications: A PhD in quantitative ecology, quantitative conservation biology, applied
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and instrumentation. Familiarity with design and simulation tools like SolidWorks, Autodesk Inventor, MuMax, OOMMFi COMSOL, or similar. Familiarity with the programming languages Python, Matlab
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, supervise the work of others and act as team leader as required. Applicants will be able to: Record research output in high quality publications Have experience of visual 3D, Matlab or similar Have excellent
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, and simulation. Strong programming skills (Python, MATLAB, or C++). Excellent problem-solving skills and a collaborative mindset. Experience with micro-Doppler or range-Doppler radar analysis
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, process or discipline. May require experience with specialized software programs such as Matlab, image J, Imaris, etc. Additional Qualifications Considered The work environment is the laboratory. Physical
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previous publications involving statistical analyses. Experience with behavioral methods. Proficiency in R, Python, MATLAB, or JavaScript for data analysis and experiment programming. Experience with grant
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expected to hold: • A master degree in biomedical engineering • Excellent programming skills in Matlab and/or Python. • Experience in recording and analysis of electrophysiological signals is an advantage
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optical setups and measurements. • Working knowledge and understanding of quantum optics and ultrafast optics. • Good with data analysis using Matlab, Python, etc. • Good in research and strong
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integration of robotics, PLCs, CNCs, and sensor networks in a manufacturing context. Strong programming skills (e.g., Python, MATLAB, C++) and familiarity with AI/ML tools and platforms. Consideration may be
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or ANSYS. Documented software skills in MATLAB and LabVIEW. Relevant master’s thesis or major projects aligned with the PhD project. * The applicant should document which of the qualifications above he/she