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Dear all,
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<div>VU Amsterdam has two vacancies for a career track assistant/associate professor related to Artificial Intelligence (with an application deadline on November 5th):</div>
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<div><b>Assistant/associate professor in AI & Health</b></div>
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<div>The potential of techniques from Artificial Intelligence for improved patient care is widely recognized. However, the number of applications that make it to the patient or clinician remains low. One of the causes of this gap is that clinicians and AI experts
often speak a different language. To try and bridge the gap between the two disciplines the Amsterdam UMC (AUMC) and Vrije Universiteit Amsterdam (VU) are joining forces and are creating a joint position between the Cancer Center Amsterdam of the Amsterdam
UMC and the Department of Computer Science at the Vrije Universiteit Amsterdam.</div>
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<div>The position will focus on the use and re-use of structured and semi-structured clinical data (opposed to medical imaging or bioinformatics) to deploy and improve machine learning techniques to develop clinically relevant models, mainly (but not exclusively)
targeting predictive modeling and personalization of healthcare. Besides purely data-driven approaches, making a combination with the vast amount of domain knowledge present in the medical domain is also in scope.</div>
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<div>For more details, see https://workingat.vu.nl/ad/assistant-associate-professor-in-ai-health/wglx34 </div>
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<div><b>Assistant/associate professor in Human-Aware AI</b></div>
<div>Algorithms are pervading society at a rapid pace. They are used in a variety of contexts, ranging from the replacement of certain tasks humans prefer to offload or cannot handle at large scale, to systems that support or advise humans. With the advent
of these systems, their downsides also become more and more prominent. Systems that do not treat certain groups fairly and include biases, for example, have a huge impact on society. We are looking for an assistant/associate professor that focuses on algorithmic
solutions for these problems. Examples of such adaptive, responsible and explainable AI may include learning bias-free models from biased data, evaluation approaches to estimate algorithmic fairness, formal norms and constraints on algorithms to guarantee
fair treatment, culturally inclusive- and socially-aware AI, or explainable AI methods, as well as other relevant algorithmic approaches and solutions. </div>
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<div>For more details, see https://workingat.vu.nl/ad/assistant-associate-professor-tenure-track-in-human-aware-artificial-intelligen/7supvw </div>
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<div>Best regards,</div>
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<div>Mark<br>
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<p class="MsoNormal"><a name="_MailAutoSig"><span lang="EN-US" style="font-size: 7.5pt; font-family: Arial, sans-serif; color: rgb(91, 91, 91);">-----<o:p></o:p></span></a></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size: 7.5pt; font-family: Arial, sans-serif; color: rgb(91, 91, 91);">Mark Hoogendoorn<span class="Apple-converted-space"> </span><br>
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Full Professor of Artificial Intelligence<span class="Apple-converted-space"> </span><br>
Chair Quantitative Data Analytics Group<span class="Apple-converted-space"> </span><br>
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</span><span lang="EN-US" style="font-size: 7.5pt; font-family: Arial, sans-serif; color: rgb(0, 137, 207);">Vrije Universiteit Amsterdam<span class="Apple-converted-space"> </span><br>
Faculty of Science, Department of Computer Science<span class="Apple-converted-space"> </span></span><span lang="EN-US"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size: 7.5pt; font-family: Arial, sans-serif; color: rgb(91, 91, 91);">T +31 20 59 87772 | M +31 6 539 22626<span class="Apple-converted-space"> </span><br>
E<span class="Apple-converted-space"> </span></span><a href="mailto:m.hoogendoorn@vu.nl" target="notSet"><span lang="EN-US" style="font-size: 7.5pt; font-family: Arial, sans-serif; color: rgb(24, 137, 207);">m.hoogendoorn@vu.nl</span></a><span lang="EN-US" style="font-size: 7.5pt; font-family: Arial, sans-serif; color: rgb(91, 91, 91);"> |
URL </span><a href="http://www.cs.vu.nl/~mhoogen/" target="notSet"><span lang="EN-US" style="font-size: 7.5pt; font-family: Arial, sans-serif; color: rgb(24, 137, 207);">www.cs.vu.nl/~mhoogen/</span></a><span lang="EN-US" style="font-size: 7.5pt; font-family: Arial, sans-serif; color: rgb(91, 91, 91);"><br>
MAILING ADDRESS: De Boelelaan 1111, 1081 HV Amsterdam</span><span lang="EN-US" style="font-size: 7.5pt;"> </span><span lang="EN-US" style="font-size: 7.5pt; font-family: Arial, sans-serif; color: rgb(91, 91, 91);"><br>
VISITING ADDRESS: NU-10A87 </span><span lang="EN-US"><o:p></o:p></span></p>
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