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working in a group dedicated to materials science and nanotechnology on applying similar tools. Python Programming, AI methods (ML, DL, computer vision) Summary of conditions: Full time work (37,5h/week
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proteins using either phylogenetic, proteomic, genomic, or biochemical methods, depending on the candidate’s strengths. As a PhD student, further investigations with orthogonal methods are expected
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broad experience in the development of electronic structure methods and their application in order to perform atomistic simulations of molecules and materials. These include (but are not restricted
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Biosensors carries out research on the integration of nanotechnology methods, tools and materials into low cost, user friendly and efficient sensors and biosensors. The main objective of Merkoçi group is to
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Tasks and responsibilities: The successful candidate will combine classical electrochemical methods with in situ characterisation techniques such as infrared and Raman spectroscopy and synchrotron-based
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programs and genome regulation, combining single-cell genomics, chromatin profiling, and comparative genomics methods in a phylogenetically diverse array of eukaryotes. For more details about the lab, visit
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. Uncertainty Quantification and Calibration: A reliable system knows what it doesn't know. We are developing rigorous methods for models to estimate the uncertainty in their predictions and decisions, a critical
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multimodal models. Research and implement advanced pre-training, fine-tuning, and alignment techniques (e.g., RLHF, DPO, constitutional AI). Explore new methods for controllable generation, creative content
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Biosensors carries out research on the integration of nanotechnology methods, tools and materials into low cost, user friendly and efficient sensors and biosensors. The main objective of Merkoçi group is to
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Experience: Chemical synthesis by CVD and hydrothermal methods, microscopy and spectroscopic techniques · Personal Competences: We are looking for a highly motivated person, enthusiastic