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FCT code 2023.17217.ICDT and DOI https://doi.org/10.54499/2023.17217.ICDT . , funded by COMPETE 2030 by Portugal 2030, and by the European Union, financial support from national funds/OE through
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e.g. Python or MATLAB. Knowledge or interest in experiment design, execution and evaluation. Experience with statistics and data-processing methods. Other experience relevant to the third-cycle studies
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analysis tools (Python, R, MATLAB) Other Qualifications To the extent this position requires the holder to research, work on, or have access to critical infrastructure as defined in Section 117.001(2
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programming language (Fortran, C, C++, Python, Matlab, ...) Very good knowledge of the German and English languages Ability to participate in and conduct field experiments European Class B driving licence
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electronics background, including experience in the analysis and simulation of analog, digital, or mixed-signal circuits, including SPICE and related tools (LTspice, Cadence, MATLAB, Python) Excellent
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experience in the analysis and simulation of analog, digital, or mixed-signal circuits, including SPICE and related tools (LTspice, Cadence, MATLAB, Python) Excellent communication skills and ability to work
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mathematics). You must have solid programming skills and documented experience implementing algorithms and running reproducible experiments in Python and/or MATLAB. PLEASE NOTE: For detailed information about
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Evaluation of metrological parameters of MIP sensors in laboratory and biological samples Statistical analysis of experimental results Graphical data processing (e.g. Origin, MATLAB) Preparation of reports and
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). Proven experience in scientific programming and numerical computing (MATLAB, Python, or C/C++), including implementation of reconstruction algorithms and image processing pipelines. Experience with
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, computer science and earth science/engineering, or a related field Proficiency in at least one programming language (Python, Matlab, R, C++, Julia, …) Good analytical skills with a sound understanding of data