Master’s Opportunities in Machine Learning in Italy

PepPERMIT is a CDT studentship project at Imperial College London combining experimental peptide science with machine learning to understand how peptides enter living cells. The research will systematically investigate peptide cellular uptake using high-throughput live-cell liquid chromatography–mass spectrometry (LC-MS) and computational analysis. The student will work on laboratory screening of peptides, peptide synthesis and the generation of chemical datasets describing peptide properties an...

Biology Research Fellowship at the U.S. Department of Defense This research fellowship places the selected participant at the U.S. Army Combat Capabilities Development Command – Soldier Center (DEVCOM-SC) in Natick, Massachusetts, working within an ORISE-administered program focused on organoid and cell biology . The project centers on gut-health-related research, including nutritional physiology , immune system modulation , and gastrointestinal cell culture . The fellow will help establish and ...

Worcester Polytechnic Institute’s Fire Protection Engineering Department is seeking a temporary graduate research assistant to join a research team working on probabilistic fire risk assessment . The project focuses on developing a Probabilistic Framework for Fire Risk Assessment using fire spread models in FireBench , with an emphasis on wildfire risk modeling, uncertainty-aware analysis, and computational methods for understanding fire behavior. The role is research-oriented and technical, bri...

The Olden Lab in the Department of Forest and Conservation Sciences at the University of British Columbia is offering funded MSc and PhD opportunities in freshwater science in Vancouver, Canada. The positions focus on major freshwater research challenges, including freshwater conservation , climate change, sustainable water management, biodiversity, environmental DNA (eDNA), and machine learning. Students will be able to develop research connected to the conservation and management of freshwater...

This research fellowship at the U.S. Food and Drug Administration , Center for Drug Evaluation and Research (CDER), is based in Silver Spring, Maryland and focuses on statistical methods for New Approach Methodologies (NAMs) . The project sits at the intersection of statistical science, in vitro pharmacology, and regulatory decision-making, with direct relevance to FDA’s work on drug safety and evaluation. The fellow will contribute to interrelated research projects developing and assessing stat...

This fellowship is hosted by the U.S. Food and Drug Administration’s Office of Commissioner, Public Health Strategy and Analysis Staff in Silver Spring, Maryland. The project is embedded in FDA’s regulatory science mission and focuses on applied data science and AI in a policy and operational environment. The fellowship is organized around four linked project areas. In research and data analysis, the participant will investigate topics such as drug competition, FDA regulatory pathways, and globa...

This fellowship is centered on respiratory virus surveillance and public health data science within the Coronavirus and Other Respiratory Viruses Division (CORVD) at the Centers for Disease Control and Prevention (CDC) in Atlanta. The project focuses on the Respiratory Virus Hospitalization Surveillance Network (RESP-NET) , a multisite, population-based surveillance platform that tracks laboratory-confirmed hospitalizations linked to influenza, COVID-19, and RSV among children and adults in the ...

This research opportunity at DEVCOM Army Research Laboratory focuses on developing novel methods for information asset selection and content filtering from high-dimensional data. The project asks the researcher to build and validate context-aware, adaptive learning models that can identify the most relevant and valuable information assets in high-dimensional streaming data. The work emphasizes the use of state-of-the-art machine learning methods that can adapt dynamically to human or agent actio...

Funded Master's and PhD research opportunity in flood risk and engineering at the University of Texas at Austin. The project focuses on compound flooding, including interactions among debris, structures and waves, and the assessment of flood risk. Students will use numerical modelling, machine learning and remote sensing to investigate complex flood hazards and their consequences. The research is based in the COMPOUND Flood Lab within the Maseeh Department of Civil, Architectural and Environment...