phenotypic variability PostDoc positions and fellowships

The VHIR-MSCA-PF-2026.003 Postdoctoral Fellowship focuses on precision modelling of Familial Hypomagnesemia with Hypercalciuria and Nephrocalcinosis (FHHNC) using patient-derived kidney organoids to uncover disease mechanisms, phenotypic variability, and sex-specific aspects, while evaluating therapeutic candidates through drug repurposing. The successful candidate will join the Kidney Pathophysiology Research Group at Vall d'Hebron University Hospital in Barcelona, working within a multidisciplinary environment that integrates stem cell technology, genome engineering, and translational nephrology to advance understanding of this ultra-rare renal tubulopathy and develop novel precision medicine strategies.

A three-year PhD position at ENS Lyon studying how environmental dynamics influences the evolution of adaptive strategies in biological systems, particularly focusing on the evolution of stochastic phenotypic variation and regulated phenotypic variation in yeast.

The postdoctoral researcher will evaluate the representation of the Pacific mean state, El Niño, and their future projections across different versions of the IPSL climate model within the OptimESM project. Responsibilities include developing diagnostics to assess model realism in the tropical Pacific, applying these diagnostics to numerical simulations to quantify improvements in tropical variability mechanisms, and disseminating results through scientific journals and conferences. The position is based at the IPSL Climate Modeling Center on the Jussieu campus of Sorbonne University, Paris, and involves close collaboration with project partners and participation in general assemblies and project-specific meetings.

This PhD position at the Laboratoire de Météorologie Dynamique (CNRS/Sorbonne University) investigates the coupling between deep convective organization and tropical atmospheric circulations on intraseasonal timescales. The project focuses on convective systems within the Intertropical Convergence Zone over the tropical Atlantic and African Easterly Waves, using observational data from satellite, reanalysis, and kilometer-scale simulations alongside theoretical modeling. The candidate will develop diagnostics to characterize convective aggregates and test hypotheses about critical spatial scales where convection begins to force larger-scale circulation. The work aims to improve representation of organized convection in climate models and reduce uncertainties in future tropical precipitation projections.

This PhD position at Maastricht University investigates how moment-to-moment fluctuations in self-esteem relate to mental health outcomes such as negative mood, worry, and fear of negative evaluation. As part of the New Science of Mental Disorders (NSMD) consortium, the candidate will analyze existing longitudinal data and collect new intensive longitudinal data using ecological momentary assessment (EMA) within a single-case experimental design (SCED) intervention study aimed at reducing self-esteem variability. The project combines network-based psychopathology approaches with clinical intervention research, offering training in advanced statistical methods, longitudinal data analysis, and interdisciplinary collaboration across Dutch universities.

This postdoctoral position in the Sun Lab at Stanford University focuses on investigating how neural circuits regulate adipose tissue function and systemic metabolism. The project will examine molecularly defined sensory and autonomic pathways that innervate adipose tissue, emphasizing peripheral nervous system circuits such as dorsal root ganglia sensory neurons and autonomic signaling. Candidates will integrate single-cell and spatial genomics, circuit neuroscience, metabolic biology, and computational approaches to map neuro-adipose communication at molecular, anatomical, and functional levels.

The USDA-ARS Postdoctoral Fellow in Postharvest Pathology position focuses on researching postharvest disease management and quality of fresh fruits, specifically examining table grape breeding lines' susceptibility to gray mold caused by Botrytis cinerea. The fellow will develop and conduct scalable, high-throughput phenotyping methods to assess disease susceptibility and evaluate preharvest and postharvest treatments aimed at controlling postharvest diseases. This opportunity provides hands‑on experience in applied research, sample management, and collaborative work within the Agricultural Research Service’s San Joaquin Valley Agricultural Sciences Center in Parlier, California. The fellowship includes a competitive annual stipend of $75,000, professional mentorship, and access to ORISE resources, supporting the fellow’s growth as an independent researcher in plant pathology and postharvest science.

The University of Guelph seeks a Postdoctoral Fellow to develop multivariate statistical methods for heterogeneous data within a One Health framework. The role involves creating models for mixed data types, analyzing correlated phenotypes in model organisms, and collaborating across biological and environmental sciences under Dr. Elif Acar’s supervision.

A fully funded PhD position at ETH Zurich investigating the interplay of sleep, stress, and arousal in humans using multimodal physiological recordings, mobile health technologies, and computational analysis. The role combines laboratory experiments with real‑world phenotyping, requiring strong programming skills in Python/MATLAB/R and experience with human physiology data. The successful candidate will develop analysis pipelines, coordinate decentralized studies, and contribute to translational research at the interface of neuroscience, biomedical engineering, and health technology.