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applications Good analytical and (bio)statistical skills Knowledge of relevant programming languages such as Java, Python, and Perl Good knowledge of relational and document-oriented database design (e.g., MySQL
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or women’s health. The applicant must be fluent in English (written and spoken) and have experience with large-scale health data and epidemiological or related analytical approaches and methodology. Experience
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water balance with data analytics to understand how variations in connectivity influence hydrograph characteristics, e.g. flood peaks and drought recession. A key objective is to identify and predict
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analytical thinking and attention to experimental quality; proactive problem-solving mindset; committed to collegiality, good laboratory practice, and a constructive team culture. Who we are The Department