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/PhD) or related field. - Simulation & data: TRNSYS (or similar), time-series processing; Python (pandas/numpy). - Experience with GIS and/or climate/solar datasets (e.g., METEONORM, PVGIS
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competence in programming with Python and working on Linux based platform is essential for this position. Further, we are looking for a doctoral candidate who meets the following requirements: A background and
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, Psychology, or a related field, to be awarded before March 1st, 2026. Essential skills include an ability to code (e.g., Python, R) and interpret data, knowledge of machine learning and statistics, and a
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languages (Python/MATLAB) commonly used in machine learning applications, is desirable but learning can be completed during the PhD. Excellent communication and interpersonal skills to facilitate
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candidate with a strong quantitative background (e.g., in computer science, statistics, bioinformatics). The following skills are essential for this project: Excellent programming skills in Python. Proven
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. python, bash, matlab) Good administrative skills, and the ability to organise and prioritise workload Excellent interpersonal, oral and written communication skills Ability to work independently and as
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, laser physics) Fundamental programming skills and expertise, e.g., Python, Julia, C/C++ Willingness to work independently and contribute to lidar soundings during nights/weekends in accordance with
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the possibility of linkage to administrative registers. The role of the candidate will focus on developing reproducible code (Stata, R, Python) to curate raw accelerometer data and derive metrics that characterize
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, biochemistry, or other relevant discipline Excellent written and spoken English skills High degree of independence and commitment Good knowledge of python and C++ Experience in relevant work tasks are
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in Mathematics, Computer Science, or Statistics Proficiency in one or multiple programming languages (R, Python, Julia, MATLAB) Interest in infectious disease dynamics, public health, global health and