33 optimization-nonlinear-functions-"Prof" positions at Linköping University in Sweden
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The Organic Nanoelectronics group, led by Prof. Simone Fabiano, at the Laboratory of Organic Electronics, Linköping University, is now seeking a highly motivated doctoral candidate to join the
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? Horizon 2020 Reference Number 853--1-27468 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Organic Nanoelectronics group, led by Prof. Simone Fabiano
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/loe ). Your work will primarily be under the guidance of Prof. Daniel Simon (https://liu.se/en/employee/dansi08 ), Organic Bioelectronics group leader at the Laboratory of Organic Electronics, with
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and small, contribute to a better world. We look forward to receiving your application! Your work assignments We are looking for one PhD student working on generative AI/machine learning, with
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application! Your work assignments We are looking for one PhD student working on generative AI/machine learning, with applications towards materials science. Generative machine learning models have emerged as a
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another way. The candidate must possess experience with the following technologies: - CUT&RUN - qRT-PCR and - Extensive DNA cloning technologies - Experience in Codon optimization from Dictyostelium
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, localization, and sensing, with a focus on developing next-generation multiple-antenna systems while optimizing overall system performance. As a doctoral student, you devote most of your time to doctoral studies
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application! We are now looking for a PhD student in Energy Systems for a project on industrial sustainability and digitalization. Your work assignments The industry is facing major challenges related to energy
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application! We are now seeking a research engineer in immunology with a focus on leukemia physiology. The position You will primarily work on projects focused on understanding how blood cancer cells affect
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address outstanding questions on behavioural evolution in canids. Your work assignments Understanding how behaviours evolve is a long-standing goal in evolutionary biology. Using the domestic dog as a model