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The laboratories of Dr. Jette Lengefeld (www.lengefeldlab.com ) and Dr. Nahid Khan are inviting applicants for two post-doctoral and two PhD student positions in stem cell, metabolism and aging
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synthesis methods for the Abstraction and Reasoning Corpus (ARC) challenge . ARC is a benchmark designed to measure an AI system's ability to efficiently acquire new skills outside its training data
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, reporting and creating high-quality scientific publications, participating in the preparation of research proposals in your field. Other responsibilities include the co-supervision of PhD students
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tested and validated to electrochemical systems. The position involves computational method development, scientific software engineering, and large-scale simulations on high-performance computing platforms
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. Probabilistic techniques in mathematical physics, including their formalization. This position is associated with Kalle Kytölä’s research group, part of the Finnish Centre of Excellence in Randomness and
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to work on the discovery of new superconducting materials with high critical temperatures, using novel methods and concepts such as machine learning and quantum geometry. The project is related to large
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for your next career stage. Your profile Recent PhD in Cell Biology, Neuroscience, Biochemistry or a related discipline. A strong academic track record, and at least one recent first-author publication
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to Professor Tuomo Hiippala . The project develops novel methods and resources for studying multimodality, or how humans communicate using combinations of multiple ‘modes’ of expression. These methods and
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
Engineering at Aalto University explores synergies between nonlinear control theory and machine learning to provide formal guarantees on performance, safety, and robustness of complex systems. We are a part of
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how natural selection shapes sex-specific immune strategies. The goal is to generate quantitative predictions testable against empirical data from diverse ecological contexts. We use methods from