75 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at KU LEUVEN
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should be exclusively submitted through the consortium webpage https://raptor-consortium.com/recruitment/ RAPTORplus aims at adapting proton therapy treatment with multi-modality image information acquired
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both independently and as part of an international, interdisciplinary team Assets•Experience with computer vision or deep learning (e.g. PyTorch, TensorFlow)•Familiarity with street view imagery or other
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machine learning You have good programming skills in Matlab, Python You have proven your proficiency in English language equivalent to B2 level You are enthusiastic and result oriented You can work
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are eager to learn new techniques or methods · You work independently and accurately · You have demonstrated verbal and written communication skills in English · You are
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signal processing and machine learning algorithms, have strong interpersonal skills and the ability to work in an international team. Experience in wireless communication and networking fundamentals is a
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manipulation of fear and reward learning. This position is part of a recently funded, large-scale and innovative research program, aimed at creating new treatments for negative symptoms, among the most
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or Dr. Inge Van Hove, mail: inge.vanhove@kuleuven.be . Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs/60625091?hl=en Requirements Research FieldBiological sciencesEducation
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manipulation of fear and reward learning. This position is part of a recently funded, large-scale and innovative research program, aimed at creating new treatments for negative symptoms, among the most
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activities, I have gathered experience with machine/deep learning, and can demonstrate a strong affinity with these fields. Prior experience with computer vision is a plus. I am proficient in Python and am
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Research Council (ERC) Starting Grant https://www.kuleuven.be/english/research/EU/p/he/p1/erc/IonFracMem ) aims to address this challenge by developing novel membranes that combine fast throughput with