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sampling, arc-boat surveys, electric fishing, fish telemetry, statistical analysis (e.g R), GIS and technical writing. We are looking for a dedicated person with a background in environmental science related
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or programming language (e.g., R) effective use of geographic information systems (GIS) and geostatistical tools is required as an internationally research institution, located in Germany we require good to very
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postdoc. Experience of developing and using spatial and/or individual based models, GIS and extract and organize data from meteorological databases The main criteria for evaluation of candidates is
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strong analytical skills (including GIS), and be familiar with sustainability policies relevant to tropical countries. They will have some fieldwork experience (either ecological, or social or both), and
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Geographic Information Systems (GIS) have seen a major shift thanks to recent strides in aerial and satellite data technologies, covering acquisition, sharing, and interpretation. However
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learning from individuals of different worldviews, cultures and representing different epistemic traditions. Desirable skills A high level of competence in working with GIS and handling large-scale forest
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ecosystems will be appreciated. Proficiency with GIS data analysis, programming skills (e.g. R, Python) and a commitment to open science principles will be highly valued. - We seek outstanding candidates with
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-oriented research in one or more of the above fields; Experience with quantitative research methods and GIS; Availability to travel and conduct fieldwork outside the Netherlands; Demonstrable good time
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Data Analysis; some experience with GIS systems; Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate
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, epidemiology, public health, or a closely related field. Experience in field epidemiology, data collection, management, and statistical analysis. Proficiency in statistical software (e.g., R, GIS, Python) and