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(spoken and written), certified if not a native language; e) Basic computer knowledge from the user's perspective; f) Show professional rigor and strong ability to work in a team; g) Demonstrate resilience
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or panel presentations) at scientific, academic or science outreach events. f) Basic computer knowledge from the user's perspective. g) Verbal expression capacity and fluency in Portuguese and English. h
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one programming language (Python, Matlab, R, C++, Julia, …) Good analytical skills with a sound understanding of data evaluation Knowledge of numerical simulation, for example with land surface
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profile to the work plan to be developed VII.II- I – In the evaluation of the interview, candidates' performance will be assessed according to the following weights and criteria: - Criterion 1: Knowledge
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and interdisciplinary team Working proficiency in English for daily communication and professional contexts (TOEFL or equivalent or excemption required) Knowledge of German is beneficial Our Offer: We
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%. The classification of the CM will be achieved through the following formula: CM=(A1*0,4)+(A2*0,4)+(A3*0,2) Interview (INT) – 40%: B1. Interpersonal skills, with a weighting of 30% B2. Knowledge
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(Level 7) in a relevant subject ('studying towards' or 'equivalent research experience' will be considered) Knowledge and experience of using qualitative and/or quantitative research methods Good
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camp. Partner with staff to assess kitchen equipment needs and maintain a real-time inventory of food and supplies. Apply expert knowledge of food service regulations to ensure all preparation and
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practical knowledge and critical thinking skills to thrive in the future. Subsequent to the establishment of the School of Data Science and LUIAS, Lingnan University is transforming into a hub for global
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practical knowledge and critical thinking skills to thrive in the future. Subsequent to the establishment of the School of Data Science and LUIAS, Lingnan University is transforming into a hub for global