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• Santa Fe Institute Post-Doctoral  + (See link)

• Stochastic Thermodynamics: Experiment and Theory  + (Stochastic thermodynamics describes the fl … Stochastic thermodynamics describes the fluctuating behaviour of small systems driven out of equilibrium. Recent experimental advances have led to precise experimental tests of fluctuation relations and other novel universal thermodynamic features at the mesoscale. This workshop will bring together experimentalists and theorists to discuss the state of the art and future directions of this emerging, evolving field.rections of this emerging, evolving field.)
• Thermodynamic Computing  + (The Computing Community Consortium (CCC) w … The Computing Community Consortium (CCC) will hold a visioning workshop in Hawaii in early January, 2019 to create a vision for thermodynamic computing, a statement of research needs, and a summary of the current state of understanding of this new area. Workshop attendance will be by invitation only and travel expenses will be available for select participants. We seek short white papers to help create the agenda for the workshop and select attendees. See the application tab for more information. </br></br>Thermodynamics has a long history in the engineering of computing systems due to its role in power consumption, scaling, and device performance [1],[2]. In a different context, thermodynamically motivated algorithmic techniques are prevalent and highly successful in areas such as machine learning [3], simulated annealing [4], and neuromorphic systems. The foundational thinking underlying much of the existing technology derives largely from equilibrium properties of closed thermodynamic systems. We aim to foster a community to extend these foundations into the domain of non-equilibrium thermodynamics toward the development of a new class of technologies that we call open thermodynamic computers.</br></br>The overall intuition is that striving for thermodynamic efficiency is not only highly desirable in hardware components, but may also be used as an embedded capability in the creation of algorithms: can dissipated heat be used to trigger adaptation/restructuring of (parts of) the functioning hardware, thus allowing hardware to evolve increasingly efficient computing strategies? Recent theoretical developments in non-equilibrium thermodynamics suggest that thermodynamics drives the organization of open systems as a natural response to external input potentials; that is, that these systems adapt as they dissipate energy, enter low dissipation homeostatic states and as a result ‘learn’ to ‘predict’ future inputs [5],[6]. For example, lower bounds on thermodynamic efficiency in driven systems (away from equilibrium), indicate that systems have to retain relevant, predictive information in order to be thermodynamically efficient [7],[8]. This strategy is, of course, the same as what is followed in machine learning (and, in general, in science): predictive inference [9]. This interesting connection between energy efficiency and information processing inspires us to bring together researchers in the various disciplines with the goal of building the foundations that would allow us to build radically different computing systems.</br></br>This CCC workshop will gather a set of leading researchers working to define open thermodynamic computers, to describe the reasons that they should be studied, to enumerate the major challenges that lay before us, and to create a strategy for a way forward. We seek a diverse group of physical theorists, electrical and computer engineers, and electronic / ionic device researchers with strong understanding of thermodynamics.th strong understanding of thermodynamics.)
• Special Issue titled "The Fuzziness in Molecular, Supramolecular, and Systems Chemistry" of the journal Molecules (MDPI, IF=3.098)  + (The submission to the Special Issue titled "The Fuzziness in Molecular, Suparmolecular, and Systems Chemistry" is open. Pier Luigi Gentili is the Guest Editor.)
• Postdoc position in information thermodynamics  + (We seek to hire a postdoctoral fellow to d … We seek to hire a postdoctoral fellow to develop theory to support the design, analysis, and interpretation of experiments probing the fundamentals of information-to-energy conversion out of equilibrium. The position will be co-supervised by Profs. J. Bechhoefer (experiment) and D. Sivak and S. Still (both theory). The primary location is the Physics department at Simon Fraser University (in Vancouver, BC), but there will also be extended visits to Prof. Still at the University of Hawai‘i at Manoa. The ideal candidate would have experience with statistical mechanics and information theory, and a PhD in a relevant field (broadly construed: physics, or relevant areas of chemistry, applied math, engineering, statistics, computer science, etc). But most important is intellectual curiosity, enthusiasm for research in this area, and an excellent track record in previous projects. Please see http://www.sfu.ca/chaos/opportunities.htm http://www.sfu.ca/chaos/opportunities.htm)