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the globe. As a model system, we focus on the Salicaceae family, which provides an exceptional opportunity to study phytochemical evolution thanks to its broad geographic distribution, ecological diversity
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(please note that the netto amount can vary depending on the family situation, etc.) PhD supervision by Prof. Kateřina Králová and mentoring by Dr. Karin Roginer Hofmeister Integration into an international
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the course. Contact person to provide further information on the content of the work: Assoc. Prof. RNDr. Jakub Hofman, Ph.D. – Deparment of Pharmacology and Toxicology tel.: +420 495 067 593 e-mail: HOFMANJ
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. Applicants with a strong background in optimization (including machine learning), algorithmic game theory, decision theory, computational social choice, social welfare, or fairness optimization are welcome
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University) Department: CEITEC MU Form of study: doctoral full time Supervisor: prof. Mgr. Lukáš Žídek, Ph.D. Annotation The PhD project is a continuation of previous studies of the research group, in
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vision systems (both hardware and software aspects), • development of machine vision algorithms, • support in leading a research team, • participation in teaching activities. Work Location(s) Number
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send the following in a single pdf file, by e-mail to Dr. Petr Mazúr and also in CC to Prof. Juraj Kosek, quoting the reference “PhD position SPACER” in subject of the email: mazurp@vscht.cz and jkk
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(chaired by Prof. Niklas Wahlberg, Lund University, Sweden; https://10klepgenomes.eu/ ) and close collaborators in this project include Prof. Mark Blaxter and Dr. Joana Meier (Wellcome Sanger Institute, UK
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-on training and mobility will be available. Our research team is part of the 10kLepGenomes COST Action (chaired by Prof. Niklas Wahlberg, Lund University, Sweden; https://10klepgenomes.eu/ ) and close
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for accurate and efficient analysis. Possible Research Themes We seek motivated PhD candidates to advance computational mass spectrometry in one or more of the following directions: Algorithm Development Design