7 jobs found

Operative Leitung des spitalweiten Governance-Prozesses für die Weiternutzung von Daten und biologischem Material

Studying Blue-Green infrastructure and biodiversity using Bayesian statistics As biodiversity loss continues to accelerate worldwide, cities will need to be redesigned to conserve it, while still protecting growing populations from threats such as flooding and climate change. Blue-green stormwater infrastructure (BGI), a spatially distributed system of BGI elements such as urban streams, constructed wetlands, or green roofs, could jointly address these multiple challenges; however, more work is needed to investigate how distributed BGI systems could be augmented to better enhance urban biodiversity, while minimizing social-ecological trade-offs common to the complex nature of cities.  In this postdoctoral research project , you will combine statistical and spatial modeling approaches to build an urban species distribution model that relies on Bayesian inference for the taxa: frogs, birds, dragonflies, butterflies, and mosquitos. The goal is to incorporate expert knowledge,...

A fundamental goal of ecology is to understand the drivers of diversity, productivity and stability of natural ecosystems. Increasing research highlights the relevance of spatial processes on shaping ecological communities and ecosystems. The meta-ecosystem concept offers a general and unified framework for studying the flows of organisms and resources among ecosystems. The PhD student will be part of the MetaPerspectproject   “A meta-ecosystem perspective to understand diversity, productivity and stability of ecological systems”, which will combine experiments, comparative studies, and theoretical models to study meta-ecosystems in a changing world. Specifically, we will study effects of perturbations for spatially realistic meta-ecosystem networks, such as dendritic networks. The overall goal of the project is to understand how abiotic drivers, such as resource availability, destructive environmental perturbations or the spatial layout of the landscape, affect diversity,...

A fundamental goal of ecology is to understand the drivers of diversity, productivity and stability of natural ecosystems. Increasing research highlights the relevance of spatial processes on shaping ecological communities and ecosystems. The meta-ecosystem concept offers a general and unified framework for studying the flows of organism s and resources among ecosystems. The postdoc will be part of the MetaPerspectproject “A meta-ecosystem perspective to understand diversity, productivity and stability of ecological systems”, which will combine experiments, comparative studies, and theoretical models to study meta-ecosystems in a changing world. Specifically, we will study effects of perturbations for spatially realistic meta-ecosystem networks. The overall goal of the project is to understand how abiotic drivers, such as resource availability, destructive environmental perturbations or the spatial layout of the landscape, affect diversity, productivity and stability of...

The position is   part of a project focused on the development of machine learning models for ecotoxicology, trained on pre-existing databases of in-vivo and in-vitro assays. The overarching goal is to assess whether in-vivo experiments can be at least partly replaced, and to identify trends of toxic sensitivity through different taxa. The scientist will provide ecotoxicological domain knowledge and closely collaborate with the data scientists in the team, and will be in charge of maintaining and developing an in-vitro database using in-house and publicly available (e.g. ToxCast) knowledge. The interdisciplinary project is led by Kristin Schirmer (Utox) and Marco Baity-Jesi (Siam) and will be pursued in close collaboration with experts from the Swiss Data Science Centre. The place of work will be at Eawag in Dübendorf. We are looking for   excellent candidates with a solid foundation in ecotoxicology and a keen interest to contribute to the development of alternatives to animal...

This position entails   technical support of a research project investigating how environmental warming may influence competitive community assembly in phytoplankton. As lake ecosystems warm, resource limitation may also become more severe and together these abiotic changes individually and interactively reshuffle communities. Importantly, environmental temperature may fundamentally alter how taxa respond to resource availability in their environment (at the cellular level) and may thereby alter competitive hierarchies and dynamics among species. The experiments planned for this project therefore aim to tie together effects of warming at multiple levels of biological organization from cells to communities and ecosystems. You will be responsible for   a broad range of tasks typical of an aquatic ecology and a microbiology lab. These include (but are not limited to): culturing of phytoplankton under sterile conditions, setting up micro- and mesocosm experiments in the lab and in...

Emphasis will be on model-based analysis of ecological and environmental data from aquatic systems of lab-to field-scale for extracting knowledge and supporting ecosystem management. The goal is to establish a research group to facilitate an iterative learning process involving experiments, observations and model-based data analysis in close collaboration with experimentalists from different disciplines. Of particular interest is the consideration of uncertainty in research and application to management, by using stochastic models and quantitative statistical inference techniques. The candidate should have a PhD degree in natural sciences or mathematics experience in model-based analysis of ecological or evolutionary data a background in mathematics, statistics underlying ecological modelling and statistical inference indicated by respective publications experience in scientific model implementation interest in collaboration with aquatic ecologists in modelling and...