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Excellent critical programming skills in Python Strong command of English (spoken and written) Familiarity with ethical and responsible AI considerations Interest in translating models into applied
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and/or cognitive neuroscience, preferentially in the field of attention and memory Excellent research methods knowledge and skills Solid programming skills (e.g., MATLAB, R, Python) Demonstrated
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beamline Publish results in scientific journals and present findings at international conferences Where to apply Website https://apply.refline.ch/673278/3854/EL6dzSlLCLf7qHjFYjOSmL8NTV0nuikWIOXeIbXpRu
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optical simulation skills (Preferably in Zemax) Strong programming skills (preferably in Python) Experience in deep learning algorithms is a plus Ability to work in a highly international team and
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: Experience with analyzing GPS tracks Good data-handling skills and ability to use R (compulsary) and preferably also Python and/or GIS competently Statistical/causal inference knowledge PhD degree in a related
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spectroscopy Should have working knowledge of optics, electronics, 3D experimental design (e.g., CAD) and coding languages (e.g., Python) Should be willing to train users of spectroscopic and experimental
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analytics / atmospheric monitoring of greenhouse gases and interest in automated setups and field work. Knowledge of scientific data analysis (e.g. Python, MATLAB or R). Good verbal and written communication
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Vision, or a related field. Proven experience in photogrammetry, image-based 3D reconstruction, and cultural heritage digitization. Solid programming skills (e.g., Python, C++) and familiarity with
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(https://www.unibas.ch/en/Research/Values-Ethics/Diversity-and-Inclusion.html ), we are committed to sustain and promote an inclusive culture, ensure equal opportunities and value diversity and respect in
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Python are essential Excellent teamwork, collaboration and communication skills Proficiency in written and spoken English A stimulating, challenging and multifaceted research environment Good integration